During the 1950's and 1960's the average weight of vehicles sold in the U.S. was well over 4,000 pounds. There was a dip in the average weights in the 1970's and 1980's, due possibly to both higher demand for better gas mileage and a world-wide shortage of crude oil. Then in the 1990's and early 2000's the average weight of vehicles had a steady increase. A regression analysis was completed on the average weight of the 10 most commonly sold vehicles in the U.S. from the years 2012 through the year 2020 and yielded the following results, where the independent variable is the year and the predicted variable is the average weight of the 10 most popular vehicles. Correlation of "Average Weight" and "Year" = r = 0.9283 The regression equation is "Average Weight" = –124,960.73 + 63.82(Year) Choose the most appropriate interpretation of the slope. Group of answer choices A. For every decrease of 1 Year, the Average Weight goes up by 63.82 pounds. B. For every decrease of 1 Year, the Average Weight goes up by 92.83 pounds. C. For every increase of 1 Year, the Average Weight goes up by 63.82 pounds. D. For every increase of 1 Year, the Average Weight goes down by 63.82 pounds.

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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During the 1950's and 1960's the average weight of vehicles sold in the U.S. was well over 4,000 pounds. There was a dip in the average weights in the 1970's and 1980's, due possibly to both higher demand for better gas mileage and a world-wide shortage of crude oil. Then in the 1990's and early 2000's the average weight of vehicles had a steady increase. A regression analysis was completed on the average weight of the 10 most commonly sold vehicles in the U.S. from the years 2012 through the year 2020 and yielded the following results, where the independent variable is the year and the predicted variable is the average weight of the 10 most popular vehicles.

Correlation of "Average Weight" and "Year" = r = 0.9283

The regression equation is "Average Weight" = –124,960.73 + 63.82(Year)

Choose the most appropriate interpretation of the slope.

Group of answer choices

A. For every decrease of 1 Year, the Average Weight goes up by 63.82 pounds.

B. For every decrease of 1 Year, the Average Weight goes up by 92.83 pounds.

C. For every increase of 1 Year, the Average Weight goes up by 63.82 pounds.

D. For every increase of 1 Year, the Average Weight goes down by 63.82 pounds.

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