The table below shows the number of cars sold per month last year and the number of years of sales experience for six randomly selected employees of Concord Motors. Experience (years) Sales (number of cars) 1 9 2 16 4 24 5 21 7 25 9 33 Find the equation of the least-squares regression line and use it to predict the number of cars sold per month for a salesperson with 7 years of sales experience. (Round to the nearest whole number.) A. 26 B. 27 C. 28 D. 29 E. None of the above
Added by Latoya C.
Close
Step 1
33 ȳ = (24 + 25 + 5) / 3 = 18 Calculate B1: B1 = ((16-23.33)(24-18) + (21-23.33)(25-18) + (33-23.33)(5-18)) / ((16-23.33)^2 + (21-23.33)^2 + (33-23.33)^2) B1 = ((-7.33)(6) + (-2.33)(7) + (9.67)(-13)) / ((-7.33)^2 + (-2.33)^2 + (9.67)^2) B1 = (-43.98 - 16.31 - Show more…
Show all steps
Your feedback will help us improve your experience
David Nguyen and 82 other Intro Stats / AP Statistics educators are ready to help you.
Ask a new question
Labs
Want to see this concept in action?
Explore this concept interactively to see how it behaves as you change inputs.
Key Concepts
Recommended Videos
The table below shows the number of cars sold last month by seven employees at Concord Motors and their number of years of sales experience. Experience Sales 1 8 2 6 2 7 4 14 5 9 6 13 8 10 Management would like to use simple regression analysis to estimate monthly car sales using the number of years of sales experience. The 95% confidence interval for the regression slope is ________. Group of answer choices (-1.842, 3.158) (-0.481, 1.797) (0.058, 1.258) (0.408, 0.908)
Ameer S.
The table below shows the number of cars sold last month by seven employees at Concord Motors and their number of years of sales experience. Experience Sales 1 8 2 6 2 7 4 14 5 9 6 13 8 10 Management would like to use simple regression analysis to estimate monthly car sales using the number of years of sales experience. The test statistic for testing the hypothesis that the population coefficient of determination is greater than zero is ________. 10.16 2.21 7.92 4.37
Kari H.
The following data represent the number of licensed drivers in various age groups and the number of accidents within the age group by gender. (TABLE CAN'T COPY) (a) Find the least-squares regression line for males, treating number of licensed drivers as the explanatory variable, $x,$ and number of crashes, $y,$ as the response variable. Repeat this procedure for females. (b) Interpret the slope of the least-squares regression line for each gender, if appropriate. How might an insurance company use this information? (c) Predict the number of accidents for males if there were 8700 thousand licensed drivers. Predict the number of accidents for females if there were 8700 thousand licensed drivers.
Describing the Relation between Two Variables
Least-Squares Regression
Recommended Textbooks
Elementary Statistics a Step by Step Approach
The Practice of Statistics for AP
Introductory Statistics
Transcript
Watch the video solution with this free unlock.
EMAIL
PASSWORD