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Run a regression analysis on the following data set, where y is the final grade in restigating how long his pho An experiment is run. The mass of an object is recorded over time. a math class and r is the average number of hours the student spent working graph below. brightness levels (on a scale of 0-100). His data is displayed in the table and Time (mint Mass (3) on math each week. hours/week | Grade 35 Brightness Level (x)|18 25 29 43 Hours (y) 6 3.7 43 5 6.1 2 19 06.4 7 60.8 not the points in the grid below. 7 63.8 8 66.2 10 71 11 12.4 14 91.6 14 83.6 15 97 16 90.4 10 20 30 40 50, 60 20 80 90 100 71 lear All Draw. Dot the equation for the line of best fit. Keep at least 4 decimals for each parameter in the equation State the regression equation y = m . z + b, with constants accurate to two decimal places. b) Interpret the slope in context. O Ricardo should expect -0.0405 brightness level per hour. lire or best fit . Round to two decimal places , use * for the variable. O Ricardo should expect -0.0405 hours per brightness level. What is the predicted value for the final grade when a student spends an Using your equation , estimate the mass of the object at 14 minutes . of 13 hours each week on math? What does the equation predict for the number of hours the phone will last at a brightness level of 637 gr arris Grade = Round to 1 decimal place. Question Help: Message Instructor hours Question Help: Video Message instructor brit Question Jump to Answer Question Help: Video Message instructor Submit Question Jump to Answer Submit Question Jump to Answer A survey which asked about study time and exam score has data as shown on the scatter plot. The least squares line was also graphed and the equation is Annual high temperatures in a certain location have been tracked for several years. Let X represent below. the year and Y the high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places ). e = 1.041 + 38.4 -90- 80 x y 8-70- 1 10.3 2 9.9 10 20 30 3 13.7 Study Time, I (minutes) 4 17.9 20.5 For a student who studies for 32 minutes, use the equation to predict the 22.8 exam score. Round to the nearest whole number. Select an answer 8 30.7 Next, find the predicted score for a student who studies 42 minutes and Question Help: Video Message instructor complete the sentence below. Submit Question Jump to Answer The predicted score was Select an answer . than the actual score by points. A regression was run to determine if there is a relationship between hours of TV watched per day (x) Question Help: & Message instructor and number of situps a person can do (y). Submit Question Jump to Answer The results of the regression were: y=ax+b a=-0.68 b=20.459 2=0.444889 =-0.667 Use this to predict the number of situps a person who watches 7 hours of TV can do (to one decimal place) Question Help: Message instructor Submit Question Jump to
