51 (1 point) Saved ListenReadSpeaker webReader: Listen The relationship between number of beers consumed (x) and blood alcohol content (y) was studied in 16 male college students by using ordinary least squares regression. The following regression equation was obtained from this study: yi=0.0127+0.018xi+ui The equation implies that: Question 51 options: on average it takes 1.8 beers to increase blood alcohol content by 1% each beer consumed increases blood alcohol by 1.27% each beer consumed increases blood alcohol by exactly 1.8% each beer consumed increases blood alcohol by, on average, 1.8% Question 52 (1 point) ListenReadSpeaker webReader: Listen The explained sum of squares (ESS) can never be Question 52 options: equal to 1 smaller than the total sum of squares (TSS) equal to 0 larger than the total sum of squares (TSS) Question 53 (1 point) ListenReadSpeaker webReader: Listen In regression analysis, the variable that is being predicted is the Question 53 options: affected variable response, or dependent, variable intervening variable independent variable Question 54 (1 point) ListenReadSpeaker webReader: Listen In regression analysis, the variable that is being used to make predictions is the Question 54 options: independent variable affected variable intervening variable response, or dependent, variable Question 55 (1 point) ListenReadSpeaker webReader: Listen Larger values of R-squared imply that the observations are more closely grouped around the Question 55 options: average value of the independent variables 45-degree line average value of the dependent variable least squares line Question 56 (1 point) ListenReadSpeaker webReader: Listen In a regression analysis, if R-squared= 1, then the explained sum of squares (ESS) Question 56 options: must be equal to zero can be any positive value must be negative must also be equal to 1 ANOVA The next four questions refer to the following scenario: You want to look at an ANOVA table of a regression in which a dependent variable is predicted using an intercept and one slope coefficient. Unfortunately, as you want to look at the table, you knock over your coffee mug which smudges out some of the numbers. Here is what you still can read: n=7 F-ratio = 10 Residual sum of squares (RSS) = 25 t-score for the slope coefficient = 3.163 Question 57 (1 point) ListenReadSpeaker webReader: Listen How big is the explained sum of squares (ESS)? Question 57 options: 75 20 30 50 Question 58 (1 point) ListenReadSpeaker webReader: Listen How big is the total sum of squares (TSS)? Question 58 options: 50 30 75 20 Question 59 (1 point) ListenReadSpeaker webReader: Listen How big is the explained R-squared? Question 59 options: 0.58 0.67 0.80 Cannot be determined Question 60 (1 point) ListenReadSpeaker webReader: Listen What's the p-value for the F-ratio? Question 60 options: 0.025 0.050 0.100 Cannot be determined