The data set represents several attributes on data breaches across several organizations. It includes 500 observations and 11 variables. The names and descriptions of each variable in the data set is provided below.

• event_ID: used to label each event
• fin_loss (in millions): the financial loss incurred by organizations from a data breach, expressed in millions
• data_type: the type of data breached
• num_people (in millions): the number of people impacted by a data breach, expressed in millions
• num_people_v2: coded version of the variable num_people
• num_records (in millions): the number of records breached, expressed in millions
• per_sensitive: percent of sensitive data breached
• per_sensitive_v2: coded version of the variable per_sensitive
• dys_impact: the length of the negative financial impact from the data breach
• dys_detect: the number of days it takes to detect the breach
• cost_controls (in millions): the amount of money spent on security controls, expressed in millions

In the syntax questions below, lab5.reg4 should be used to represent the regression model from

A. Provide the syntax you used to generate the regression model in Question 4 by completing the blanks below.

lab5.reg4 = ( ~ , data = )

summary( )

B.

Provide the following values from your output from Question 4. NOTE: Please provide the values as displayed in R (DO NOT round them).

F-value:

p-value:

R-squared:

intercept:

slope:

C. How much of the variability in the amount of money spent on security controls can be explained by the number of records breached?

D.

Provide the value that represents the strength of the relationship between the predictor and outcome.

E.

The effect size provided in the previous question can be best classified as:

Group of answer choices

very weak

weak

moderate

strong

F. Using the intercept and slope you provided in Question 6, determine how money would be spent on security controls if the number of records breached was 10 million.

G.

Use R to determine a 70% interval of the potential range of values for the cost of controls when the number of records breached is 10 million.

Lower Limit

Upper Limit

H.

Provide the syntax you used to generate the interval in Question 11 by completing the blanks below.

predict( , data.frame( ), interval = , level = )

G.

Use R to determine a 70% interval of the range of the mean for the cost of controls when the number of records breached is 10 million.

Lower Limit

Upper Limit

H.

Provide the syntax you used to generate the interval in Question 14 by completing the blanks below.

predict( , data.frame( ), interval = , level = )

event ID fin loss data_type num_people num_people_v2 num records per sensitive per sensitive_v2 dys impact dys_detect cost controls 1 50 Intellectual Property 51.71 Between 30 to 60 million 49.18 19 Low 780 195 50.2 2 56.78 Intellectual Property 51.08 Between 30 to 60 million 54.11 19 LOW 276 443 48.09 3 44.02 Identity 59.4 Between 30 to 60 million 52.94 28 Low 638 354 63.17 4 72.83 Personal 41.91 Between 30 to 60 million 44.17 95 High 1027 793 52.05 5 47.49 Personal 56.32 Between 30 to 60 million 57.96 4 Low 533 103 50 6 50.34 Personal 46.01 Between 30 to 60 million 44.17 36 LOW 832 216 40.65 7 54.33 Intellectual Property 62.7 More than 60 million 65.49 100 High 1590 1034 56.7 8 42.65 Authentication Credentials 35.36 Between 30 to 60 million 35.39 28 LOW 139 347 30.35 9 48.86 Financial 49.6 Between 30 to 60 million 47.93 95 High 265 455 51.77 10 54.15 Health 43.91 Between 30 to 60 million 42.91 13 Low 215 620 42.06 11 29.15 Intellectual Property 61.1 More than 60 million 60.47 100 High 374 79 58.23 12 39.06 Identity 44.94 Between 30 to 60 million 35.39 80 High 866 158 39.52 13 54.04 Health 61.85 More than 60 million 61.72 47 LOW 309 745 57.23 14 62.07 Financial 55.81 Between 30 to 60 million 49.18 28 LOW 780 662 57.8 15 48.97 Authentication Credentials 45.27 Between 30 to 60 million 42.91 48 LOW 307 778 44.73 16 38.84 Personal 59.51 Between 30 to 60 million 55.45 58 High 1756 312 61.34 17 42.76 Identity 50 Between 30 to 60 million 50 88 High 232 566 36.69 18 54.04 Intellectual Property 56.78 Between 30 to 60 million 55.45 4 LOW 455 500 63.29 19 46.42 Financial 44.02 Between 30 to 60 million 45.42 48 Low 470 273 51.73 20 63.95 Health 72.83 More than 60 million 73.38 80 High 1007 1022 64.42 21 41.28 Intellectual Property 47.49 Between 30 to 60 million 46.67 13 Low 184 235 61.79 22 47.38 Financial 50.34 Between 30 to 60 million 49.18 36 LOW 268 64.98 23 41.17 Personal 54.33 Between 30 to 60 million 46.67 28 Low 397 693 51.24 24 62.59 Identity 42.65 Between 30 to 60 million 45.42 69 High 1203 860 43.35 25 49.09 Intellectual Property 48.86 Between 30 to 60 million 46.67 58 High 511 740 42.06 26 49.43 Authentication Credentials 54.15 Between 30 to 60 million 47 LOW 557 304 50 27 21.75 Personal 29.15 Less than 30 million 34.13 4 Low 932 517 41.46 28 42.28 Personal 39.06 Between 30 to 60 million 41.66 7 LOW 811 168 55.4 29 35.23 Authentication Credentials 54.04 Between 30 to 60 million 55.45 719 57.96 30 31 LOW 32 33 34 35 36 37 38 39 40 41 42 43 14 58 High 277 298 46.27 51.06 Identity 62.07 More than 60 million 66.74 69 High 421 959 64.42 44.91 Authentication Credentials 48.97 Between 30 to 60 million 49.18 7 409 185 49.63 51.06 Identity 38.84 Between 30 to 60 million 36.64 36 LOW 515 251 41.82 63.09 Intellectual Property 42.76 Between 30 to 60 million 47.93 100 High 1468 961 47.72 53.69 Identity 54.64 Between 30 to 60 million 55.45 58 High 1201 36 54.88 31.42 Financial 46.42 Between 30 to 60 million 37.89 2 LOW 841 479 52.58 57.22 Intellectual Property 63.95 More than 60 million 62.98 47 LOW 836 597 58.23 55.76 Identity 41.28 Between 30 to 60 million 45.42 95 High 342 499 43.32 37.58 Personal 47.38 Between 30 to 60 million 44.17 28 Low 529 48 35.16 31.98 Authentication Credentials 41.17 Between 30 to 60 million 42.91 2 LOW 560 209 36 55.76 Identity 62.59 More than 60 million 62.98 36 LOW 952 385 41.91 67.79 Health 49.09 Between 30 to 60 million 51.69 7 LOW 658 1021 52.49 41.1 Financial 49.43 Between 30 to 60 million 41.26 28 LOW 618 573 52.61 19.39 Personal 21.75 Less than 30 million 21.59 100 High 886 240 39.4 44.01 Financial 57.63 Between 30 to 60 million 59.22 2 LOW 126 506 39.8 54.87 Identity 52.16 Between 30 to 60 million 59.22 58 High 146 567 51.77 52.52 Identity 65.65 More than 60 million 65.86 80 High 635 415 48.47 44.91 Personal 31.15 Between 30 to 60 million 32.88 100 High 334 225 36.57 35.23 Financial 32.63 Between 30 to 60 million 35.39 69 High 1806 640 46.68 55.76 Identity 49.49 Between 30 to 60 million 45.42 2 LOW 845 584 59.93 59.57 Intellectual Property 65.43 More than 60 million 65.49 58 High 1773 377 59.93 53.41 Identity 67.54 More than 60 million 66.74 19 Low 423 580 55.69 63.11 Intellectual Property 71.45 More than 60 million 70.49 88 High 1030 461 50 55.82 Intellectual Property 43.47 Between 30 to 60 million 46.14 47 LOW 590 796 50 21.34 Authentication Credentials 40.42 Between 30 to 60 million 37.63 36 LOW 158 861 50 51.13 Identity 24.61 Less than 30 million 23.18 19 Low 748 593 50 49.83 Authentication Credentials 51.21 Between 30 to 60 million 46.83 88 High 239 505 50 52.42 Identity 53.66 Between 30 to 60 million 52.09 47 LOW 610 520 50 55.33 Identity 50.74 Between 30 to 60 million 53.4 58 High 1301 1006 50 45 46 47 48 49 50 51 52 53 54 55 56 57 58 event ID fin loss data_type num_people num_people_v2 num records per sensitive per sensitive_v2 dys impact dys_detect cost controls 1 50 Intellectual Property 51.71 Between 30 to 60 million 49.18 19 Low 780 195 50.2 2 56.78 Intellectual Property 51.08 Between 30 to 60 million 54.11 19 LOW 276 443 48.09 3 44.02 Identity 59.4 Between 30 to 60 million 52.94 28 Low 638 354 63.17 4 72.83 Personal 41.91 Between 30 to 60 million 44.17 95 High 1027 793 52.05 5 47.49 Personal 56.32 Between 30 to 60 million 57.96 4 Low 533 103 50 6 50.34 Personal 46.01 Between 30 to 60 million 44.17 36 LOW 832 216 40.65 7 54.33 Intellectual Property 62.7 More than 60 million 65.49 100 High 1590 1034 56.7 8 42.65 Authentication Credentials 35.36 Between 30 to 60 million 35.39 28 LOW 139 347 30.35 9 48.86 Financial 49.6 Between 30 to 60 million 47.93 95 High 265 455 51.77 10 54.15 Health 43.91 Between 30 to 60 million 42.91 13 Low 215 620 42.06 11 29.15 Intellectual Property 61.1 More than 60 million 60.47 100 High 374 79 58.23 12 39.06 Identity 44.94 Between 30 to 60 million 35.39 80 High 866 158 39.52 13 54.04 Health 61.85 More than 60 million 61.72 47 LOW 309 745 57.23 14 62.07 Financial 55.81 Between 30 to 60 million 49.18 28 LOW 780 662 57.8 15 48.97 Authentication Credentials 45.27 Between 30 to 60 million 42.91 48 LOW 307 778 44.73 16 38.84 Personal 59.51 Between 30 to 60 million 55.45 58 High 1756 312 61.34 17 42.76 Identity 50 Between 30 to 60 million 50 88 High 232 566 36.69 18 54.04 Intellectual Property 56.78 Between 30 to 60 million 55.45 4 LOW 455 500 63.29 19 46.42 Financial 44.02 Between 30 to 60 million 45.42 48 Low 470 273 51.73 20 63.95 Health 72.83 More than 60 million 73.38 80 High 1007 1022 64.42 21 41.28 Intellectual Property 47.49 Between 30 to 60 million 46.67 13 Low 184 235 61.79 22 47.38 Financial 50.34 Between 30 to 60 million 49.18 36 LOW 268 64.98 23 41.17 Personal 54.33 Between 30 to 60 million 46.67 28 Low 397 693 51.24 24 62.59 Identity 42.65 Between 30 to 60 million 45.42 69 High 1203 860 43.35 25 49.09 Intellectual Property 48.86 Between 30 to 60 million 46.67 58 High 511 740 42.06 26 49.43 Authentication Credentials 54.15 Between 30 to 60 million 47 LOW 557 304 50 27 21.75 Personal 29.15 Less than 30 million 34.13 4 Low 932 517 41.46 28 42.28 Personal 39.06 Between 30 to 60 million 41.66 7 LOW 811 168 55.4 29 35.23 Authentication Credentials 54.04 Between 30 to 60 million 55.45 719 57.96 30 31 LOW 32 33 34 35 36 37 38 39 40 41 42 43 14 58 High 277 298 46.27 51.06 Identity 62.07 More than 60 million 66.74 69 High 421 959 64.42 44.91 Authentication Credentials 48.97 Between 30 to 60 million 49.18 7 409 185 49.63 51.06 Identity 38.84 Between 30 to 60 million 36.64 36 LOW 515 251 41.82 63.09 Intellectual Property 42.76 Between 30 to 60 million 47.93 100 High 1468 961 47.72 53.69 Identity 54.64 Between 30 to 60 million 55.45 58 High 1201 36 54.88 31.42 Financial 46.42 Between 30 to 60 million 37.89 2 LOW 841 479 52.58 57.22 Intellectual Property 63.95 More than 60 million 62.98 47 LOW 836 597 58.23 55.76 Identity 41.28 Between 30 to 60 million 45.42 95 High 342 499 43.32 37.58 Personal 47.38 Between 30 to 60 million 44.17 28 Low 529 48 35.16 31.98 Authentication Credentials 41.17 Between 30 to 60 million 42.91 2 LOW 560 209 36 55.76 Identity 62.59 More than 60 million 62.98 36 LOW 952 385 41.91 67.79 Health 49.09 Between 30 to 60 million 51.69 7 LOW 658 1021 52.49 41.1 Financial 49.43 Between 30 to 60 million 41.26 28 LOW 618 573 52.61 19.39 Personal 21.75 Less than 30 million 21.59 100 High 886 240 39.4 44.01 Financial 57.63 Between 30 to 60 million 59.22 2 LOW 126 506 39.8 54.87 Identity 52.16 Between 30 to 60 million 59.22 58 High 146 567 51.77 52.52 Identity 65.65 More than 60 million 65.86 80 High 635 415 48.47 44.91 Personal 31.15 Between 30 to 60 million 32.88 100 High 334 225 36.57 35.23 Financial 32.63 Between 30 to 60 million 35.39 69 High 1806 640 46.68 55.76 Identity 49.49 Between 30 to 60 million 45.42 2 LOW 845 584 59.93 59.57 Intellectual Property 65.43 More than 60 million 65.49 58 High 1773 377 59.93 53.41 Identity 67.54 More than 60 million 66.74 19 Low 423 580 55.69 63.11 Intellectual Property 71.45 More than 60 million 70.49 88 High 1030 461 50 55.82 Intellectual Property 43.47 Between 30 to 60 million 46.14 47 LOW 590 796 50 21.34 Authentication Credentials 40.42 Between 30 to 60 million 37.63 36 LOW 158 861 50 51.13 Identity 24.61 Less than 30 million 23.18 19 Low 748 593 50 49.83 Authentication Credentials 51.21 Between 30 to 60 million 46.83 88 High 239 505 50 52.42 Identity 53.66 Between 30 to 60 million 52.09 47 LOW 610 520 50 55.33 Identity 50.74 Between 30 to 60 million 53.4 58 High 1301 1006 50 45 46 47 48 49 50 51 52 53 54 55 56 57 58