An engineer wants to determine how the weight of a gas-powered car, x, affects gas mileage, y. The accompanying data represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. Complete parts (a) through (d) below. Click here to view the weight and gas mileage data. (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. y = -0.00664 x+ 42.34 (Round the x coefficient to five decimal places as needed. Round the constant to two decimal places as needed.) (b) Interpret the slope and y-intercept, if appropriate. Choose the correct answer below and fill in any answer boxes in your choice. (Use the answer from part a to find this answer.) A. For every pound added to the weight of the car, gas mileage in the city will decrease by mile(s) per gallon, on average. It is not appropriate to interpret the y-intercept. B. For every pound added to the weight of the car, gas mileage in the city will decrease by | | mile(s) per gallon, on average. A weightless car will get miles per gallon, on average. O C. A weightless car will get miles per gallon, on average. It is not appropriate to interpret the slope. O D. It is not appropriate to interpret the slope or the y-intercept. 101 Vi (1,1) More Clear all Final check ew an example Get more help - Q 1 9 12 - K W ENG 7 4 0 10:46 PM 10/21/2022 End DII X 1 > ) Home F7 PrtScn 8 Pgon F9 F10 PgUp F12 F2 F3 F4 F5 F6 3 5 7 8 9 P E R T Y U O . . D F G H K C V B N M Alt EThe accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of college students in a general education course at a large state university. Complete parts (a) through (e) below. Click the icon to view the absence count and final exam score data. Click the icon to view a table of critical values for the correlation coefficient. (a) Find the least-squares regression line treating number of absences as the explanatory variable and the final exam score as the response variable. y = -2.785 x+ 88.275 (Round to three decimal places as needed.) (b) Interpret the slope and the y-intercept, if appropriate. Choose the correct answer below and fill in any answer boxes in your choice. (Round to three decimal places as needed. A. For every additional absence, a student's final exam score drops |points, on average. The average final exam score of students who miss no classes is O B. For every additional absence, a student's final exam score drops points, on average. It is not appropriate to interpret the y-intercept. C. The average final exam score of students who miss no classes is . It is not appropriate to interpret the slope. D. It is not appropriate to interpret the slope or the y-intercept. Clear all Check answer ew an example Get more help ENG 7 4 6 10:46 PM 10/21/2022 DII 1 x PrtSen Home End PgUp PgDn F8 F10 FT1 F12 F4 F5 F7 F3 F6 F2 O 4 5 6 7 8 3 R T U O P E Y K L D F G H .V V M C B N Alt Ebelow. 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) Click the icon to view the data table. Repeat this procedure for females. (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. Find the least-squares regression line for males. y = 0.342 x+ 1,003 (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 +0 (Round the x coefficient to three decimal places as needed. Round the constant to the nearest integer as needed.) Clear all Check answer ew an example Get more help 10:47 PM ENG F Q 10/21/2022 End PgUP F1 PgDn F12 DII X PrtSen F7 FB Home F9 F10 F2 F3 F4 F5 F6 Back 9 O 4 5 O P E R T Y U . . D F G H K L . C V B N M Alt