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Average SD Party hrs per week 8.3 6.6 Drinks per week 8.6 Correlation: r = 0.73 The regression equation for predicting the number of drinks per week from party hours per week is: Drinks = 0.30 + 1x (Party hours) What's the best interpretation of the slope for this equation? For each extra hour of partying, girls in the class consume about1 more drink on the average. For cach extra hour of partying, every single girl in the class consumes exactly 1 more drink. It's not possible to interpret the slope in this equation since some girls in the class don't drink at all nile others may consume as many as 6 or 7 drinks an hour Subrit Arawer Tries 0/99 What's the best interpretation of the y-intercept for this equation. O It's about the average number of drinks per week for girls who party 0 hours per week. It's about the average number of party hours per week for girls who have O drinks per week. O It's not possible to interpret the y-interoept because it's outside the range of the data, you can't party negative hours. Subrit Arswer Tries 0/99 .What is the SD of the prediction errors (the RMSE) when predicting drinks from party hours? 6.15 drinks D 4.51 drinks 6.15 party hours 4.51 party hours O 0.73 drinks/party hours Subrit Arswer Tries 0/99 . Suppose someone is 2 SDs above average in drinks, what's the regression estimate for how many SDs above average that student is in party hours? Give your answer to 2 decimal p SDs above average in party hours

Average SD Party hrs per week 8.3 6.6 Drinks per week 8.6 Correlation: r = 0.73 The regression equation for predicting the number of drinks per week from party hours per week is: Drinks = 0.30 + 1x (Party hours) What's the best interpretation of the slope for this equation? For each extra hour of partying, girls in the class consume about1 more drink on the average. For cach extra hour of partying, every single girl in the class consumes exactly 1 more drink. It's not possible to interpret the slope in this equation since some girls in the class don't drink at all nile others may consume as many as 6 or 7 drinks an hour Subrit Arawer Tries 0/99 What's the best interpretation of the y-intercept for this equation. O It's about the average number of drinks per week for girls who party 0 hours per week. It's about the average number of party hours per week for girls who have O drinks per week. O It's not possible to interpret the y-interoept because it's outside the range of the data, you can't party negative hours. Subrit Arswer Tries 0/99 .What is the SD of the prediction errors (the RMSE) when predicting drinks from party hours? 6.15 drinks D 4.51 drinks 6.15 party hours 4.51 party hours O 0.73 drinks/party hours Subrit Arswer Tries 0/99 . Suppose someone is 2 SDs above average in drinks, what's the regression estimate for how many SDs above average that student is in party hours? Give your answer to 2 decimal p SDs above average in party hours

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The table gives the 5 summary statistics of last semester's Stat 100 female responses to the 2 survey questions: "About how much do you drink per week?" and "About how much do you party per week?" Average SD Party hrs per week 8.3 6.6 Drinks per week 8.6 Correlation: r = 0.73 The regression equation for predicting the number of drinks per week from party hours per week is: Drinks = 0.30 + 1x (Party hours) a. What's the best interpretation of the slope for this equation? For each extra hour of partying, girls in the class consume about1 more drink on the average. For cach extra hour of partying, every single girl in the class consumes exactly 1 more drink. It's not possible to interpret the slope in this equation since some girls in the class don't drink at all while others may consume as many as 6 or 7 drinks in an hour. Subrit Arsver Tries 0/99 b. What's the best interpretation of the y-intercept for this equation. It's about the a verage number of drinks per week for girls who party 0 hours per week. It's about the average number of party hours per week for girls who have 0 drinks per week. It's not possible to interpret the y-intercept because it's outside the range of the data, you can't party negative hours. Subri. Arswor Tries 0/99 c. What is the SD of the prediction errors (the RMSE) when predicting drinks from party hours? 6.15 drinks 4.51 drinks 6.15 party hours 4.51 party hours 0.73 drinks/party hours Submit Arswer Tries 0/99 d. Suppose someone is 2 SDs above average in drinks, what's the regression estimate for how many SDs above average that student is in party hours? Give your answer to 2 decimal places. SDs above average in party hours Submit Answer Tries 0/99 e. The regression equation for predicting the number of party hours per week from the number of drinks per week is: Party Hours - (Drinks). Fill in the first blank with the y-intercept and the ssecond with the slope. Round both answers to 2 decimal places.
Transcribed Image Text:The table gives the 5 summary statistics of last semester's Stat 100 female responses to the 2 survey questions: "About how much do you drink per week?" and "About how much do you party per week?" Average SD Party hrs per week 8.3 6.6 Drinks per week 8.6 Correlation: r = 0.73 The regression equation for predicting the number of drinks per week from party hours per week is: Drinks = 0.30 + 1x (Party hours) a. What's the best interpretation of the slope for this equation? For each extra hour of partying, girls in the class consume about1 more drink on the average. For cach extra hour of partying, every single girl in the class consumes exactly 1 more drink. It's not possible to interpret the slope in this equation since some girls in the class don't drink at all while others may consume as many as 6 or 7 drinks in an hour. Subrit Arsver Tries 0/99 b. What's the best interpretation of the y-intercept for this equation. It's about the a verage number of drinks per week for girls who party 0 hours per week. It's about the average number of party hours per week for girls who have 0 drinks per week. It's not possible to interpret the y-intercept because it's outside the range of the data, you can't party negative hours. Subri. Arswor Tries 0/99 c. What is the SD of the prediction errors (the RMSE) when predicting drinks from party hours? 6.15 drinks 4.51 drinks 6.15 party hours 4.51 party hours 0.73 drinks/party hours Submit Arswer Tries 0/99 d. Suppose someone is 2 SDs above average in drinks, what's the regression estimate for how many SDs above average that student is in party hours? Give your answer to 2 decimal places. SDs above average in party hours Submit Answer Tries 0/99 e. The regression equation for predicting the number of party hours per week from the number of drinks per week is: Party Hours - (Drinks). Fill in the first blank with the y-intercept and the ssecond with the slope. Round both answers to 2 decimal places.
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