Q34Choose the most appropriate interpretation of the slope.For every decrease of 1 Year, the Average Weight goes up by 63.82 pounds.For every decrease of 1 Year, the Average Weight goes up by 92.83 pounds.For every increase of 1 Year, the Average Weight goes up by 63.82 pounds.For every increase of 1 Year, the Average Weight goes down by 63.82 pounds.Q35 Predict the Average Weight to the nearest pound for the 2019 Year.Group of answer choices3915 pounds3892 poundsThis value of Year is beyond the scope of the data.3899 poundsQ36 Predict the Average Weight to the nearest pound for the 2011 Year.Group of answer choices3397 pounds3411 pounds3381 poundsThis value of Year is beyond the scope of the data.Q37 Interpret the correlation coefficient. There is a:Group of answer choicesweak negative linear relationship between the Year and the Average Weight.strong positive linear relationship between the Year and the Average Weight.strong negative linear relationship between the Year and the Average Weight.weak positive linear relationship between the Year and the Average Weight.

USE THE INFORMATION BELOW TO ANSWER QUESTIONS 34 THRU 37 During the 1950's and 1960's the average weight of vehicles sold in the US over 4.000 pounds. There was a dip in the average weights in the 1970's an _, possibly to both higher demand for better gas mileage and a world-wide sharia crude oil. Then in the 1990's and early 2000's the average weight of vehicle steady increase. A regression analysis was completed on the average weight most commonly sold vehicles in the US. from the years 2012 through the yea; yielded the following results, where the independent variable is the year and t 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