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Please look at the pictures for what I need answered, thanks. I am stuck on these questions for my homework and need help figuring them

Please look at the pictures for what I need answered, thanks.

I am stuck on these questions for my homework and need help figuring them out thank you for your help!

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mathxl.com My Grades - 2020SU_MAT152_81:Stat... Assignments Take a Test - Kaylee Phares Homework Help - Q&A from Online Tu. Inbox (5,015) - co.kaylee@gmail.com. Match the linear correlation coefficien MAT 152 Summer Online Bradham Kaylee Phares & | 06/21/20 1:04 PM Test: Chapters 4, 5, and 6 test Time Remaining: 02:25:45 Submit Test This Question: 1 pt 23 of 24 (2 complete) This Test: 37 pts possible The accompanying data represent the weights of various domestic cars and their gas mileages in the city. The linear correlation coefficient between the weight of a car and its miles per gallon in the city is r= - 0.972. The least-squares regression ine treating weight as the explanatory variable and miles per gallon as the response variable is y = - 0.0070x + 44.4405. Complete parts (a) and (b) below. Click the icon to view the data table. (a) What proportion of the variability in miles per gallon is explained by the relation between weight of the car and miles per gallon? The proportion of the variability in miles per gallon explained by the relation between weight of the car and miles per gallon is%. (Round to one decimal place as needed.) (b) Interpret the coefficient of determination. % of the variance in by the linear model. Round to one decimal place as needed.) is Enter your answer in each of the answer boxes.mathxl.com C My Grades - 2020SU_MAT152 81:Stat. Assignments Take a Test - Kaylee Phares Homework Help - Q&A from Online Tu. Inbox (5,015) - co.kaylee@gmail.com.. Match the lin MAT 152 Summer Online Bradham Kaylee Phares Test: Chapters 4, 5, and 6 test Time Remaining: This Question: 1 pt 24 of 24 (2 complete) This The data in the table represent the number of licensed drivers in various age groups and the number of fatal accidents within the age group by gender. Complete parts (a) through (c) below. Click the icon to view the data table. a) Find the least-squares regression line for males treating the number of licensed drivers as the explanatory variable, x, and the number of fatal crashes, y, as the response variable. Repeat this procedure for females. Find the least-squares regression line for males. y =]x+ (Round the x coefficient to three decimal places as needed. Round the constant to the nearest integer as needed.) Find the least-squares regression line for females. y = x+ (Round the x coefficient to three decimal places as needed. Round the constant to the nearest integer as needed.) (b) Interpret the slope of the least-squares regression line for each gender, if appropriate. How might an insurance company use this information? What is the correct interpretation of the slope of the least-squares regression line for males? Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Use the answer from part a to find this answer.) A. If the number of fatal crashes increases by 1, then the number of male licensed drivers increases by | thousand, on average. O B. If the number of male licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by , on average. C. If the average age of all male licensed drivers increases by 1, then the number of fatal crashes increases by , on average. D. It does not make sense to interpret the slope. What is the correct interpretation of the slope of the least-squares regression line for females? Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Use the answer from part a to find this answer.) O A. If the number of fatal crashes increases by 1, then the number of female licen thousand, on average. O B. If the average age of all female licensed drivers i shes increases by , on average. O C. If the number of female licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by | |, on average. Click to select your answer(s). MacBook Air esc 588 a NO 5 W E R U O P abmathxl.com My Grades - 2020SU_MAT152 81:Stat. Assignments Take a Test - Kaylee Phares Homework Help - Q&A from Online Tu.. Inbox (5,015) - co.kaylee@gmail.com.. Match the linear correlation coe MAT 152 Summer Online Bradham Kaylee Phares & | 06/21/20 1:04 PM Test: Chapters 4, 5, and 6 test Time Remaining: 02:25:32 Submit Test This Question: 1 pt 24 of 24 (2 complete) This Test: 37 pts possible The data in the table represent the number of licensed drivers in various age groups and the number of fatal accidents within the age group by gender. Complete parts (a) through (c) below. Click the icon to view t O D. It does not make sense to interpret the slope. What is the correct interpretation of the slope of the least-squares regression line for females? Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Use the answer from part a to find this answer.) O A. If the number of fatal crashes increases by 1, then the number of female licensed drivers increases by | thousand, on average. O B. If the average age of all female licensed drivers increases by 1, then the number of fatal crashes increases by , on average. O C. If the number of female licensed drivers increases by 1 (thousand), then the number of fatal crashes increases by , on average. O D. It does not make sense to interpret the slope. The slope of the regression line for males is that for females. This means that males tend to be involved in |females. An insurance company may use this information to argue for (c) Was the number of fatal accidents for 16 to 20 year old males above or below average? was the number relationship hot ge? Was the number of fatal accidents for 21 to 24 year old males above or below average? Was the number of fatal accidents for males greater than 74 years old above or below average? How might an insurance company use this information? Does the same relationship hold for females? The number of fatal accidents for 16 to 20 year old males was The number of fatal accidents for 21 to 24 year old males was The number of fatal accidents for males greater than 74 years old was An insurance company could use it to argue for higher rates for drivers and lower rates for drivers . Does the same relationship hold for females? Yes NO Click to select your answer(s). ? MacBook Air asc 88 F10 N 5 6 CO O P Q W E R

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