QUESTION 1 The coefficient of determination, along with the correlation coefficient, will help us determine if it is worth it to continue a regression analysis ofthe sample we have at hand. Choose one -10 points 0 True 0 False QUESTION 2 Outliers: Choose one . 10 points O Greatly affect the value of r Should be identified and taken out of the data before any correlation analysis O Are easily identified in a scatterplot O All of the aboveQUESTION 3 The independent variable is also known as the explanatory variable. Choose one . 10 points O True O False QUESTION 4 The properties of r include: Choose one . 10 points Or is sensitive to very high quantities The value of r is not affected if the values of either variable are converted into a different scale You must define the independent and dependent variables All of the aboveQUESTION 5 Because some people are unable to stand to have their height measured, doctors use the height from the floor to the knee to approximate their patients' height (in cm). Height of Knee Overall Height 57 192 47 153 43 146 44 160 55 171 54 176 Image description: A table with 2 columns. The first column has a header of "Height of Knee" with the following numbers: 57, 47, 43, 44, 55, and 54. The second column has a header of "Overall Height" with the following numbers: 192, 153, 146,160, 171, and 176' a. Use Excel to determine the correlation coefficient of this data b. Use Excel to determine the regression equation of this data c. Find the overall height from a knee height of 45.3 cm d. Find the overall height from a knee height of 52.7 cm Choose one - 20 points 0 a. r = 0.73220213 b. Equation: y = 2.0217x + 67.746 c. 159.32901 d. 174.28959 O a. r = 082544241 b. Equation: y = 2.5109x + 40.79 c. 154.53377 d.173.11443 O a. r = 0.53611996 b. Equation: y = 2.0217x + 67.746 c. 159.32901 d. 174.28959 O a. r= 0908553361 b. Equation: y = 2.5109): + 40.79 c. 15453377 Cl. 173.11443 QUESTION 6 The assumptions we use to determine the validity of predictions include: Choose one - 10 points 0 The sample should be paired data, with two variables: x and y 0 The standard deviation of each dependent variable must be exactly the same as for each of the dependent variables 0 The sample is a random sample 0 The sample is collected using a cluster sampling method QUESTION 7 The equation ofthe regression line: Choose one - 10 points 0 It is written in standard form 0 It is written in point-slope form 0 It is written in quadratic form 0 It is written in slope-intercept form QUESTION 8 Once we have a simple regression line, we can use it to predict values for the independent variable X. Choose one - 10 points QUESTION 9 A simple regression model uses a straight line to make predictions about future events. Choose one - 10 points QUESTION 10 A positive straight line relationship: Choose one - 10 points 0 Does not show anything relevant to either correlation or regression 0 Shows the values ofx increasing as the values ofy decrease 0 Shows no change amongst the variables 0 None ofthe above