We expect a car’s highway gas mileage to be related to its city gas mileage (in mpg). Data for all 1209 vehicles in the government’s 2016 Fuel Economy Guide give the regression line   highway mpg=7.903+(0.993×city mpg) for predicting highway mileage from city mileage.

In linear regression models, the value of the coefficient of determination indicates the strength and direction of any linear relationship between the variable and the independent/explanatory dependent/response variable. ● True False

Do heavier cars use more gasoline? To answer this question, a researcher randomly selected 15 cars. He collected their weight (in hundreds of pounds) and the mileage (MPG) for each car. From a scatterplot made with the data, a linear model seemed appropriate which is included as a photo.    What proportion of the variation in mileage is accounted for by the linear relationship with the wight of the car? And if we wanted to test if there is a significant straight-line relationship between the weight and the mileage of a car, we can perform a T test. Give the value of the t statistic for this test.

We expect a car’s highway gas mileage to be related to its city gas mileage (in mpg). Data for all 12091209 vehicles in the government’s 2016 Fuel Economy Guide give the regression line   highway mpg=7.903+(0.993×city mpg)   for predicting highway mileage from city mileage. (a) What is the slope of this line? (Enter your answer rounded to three decimal places.) slope:     What does the numerical value of the slope tell you? For every 7.903mpg in city gas mileage, highway gas mileage increases about 0.993 mpg. On average, highway mileage increases by 7.903 mpg for each additional mpg in city mileage. Highway gas mileage increases with city gas mileage by 7.903 mpg for each additional mpg in city mileage. On average, highway mileage increases by 0.993mpg for each additional mpg in city mileage. On average, highway mileage decreases by 0.993 mpg for each additional mpg in city mileage. (b) What is the intercept? (Enter your answer rounded to three decimal…

The relationship between the cost of a concert ticket and a ranking of the performer's popularity was summarized by a regression equation with slope of 135 and y-intercept of -373. What is the equation of the regression line? cost =+ (O popularity Enter your answer in each of the answer boxes. tv 12 MacBook Air DD 888 esc F7 F8 F9 F5 F6 F1 F2 F3 F4

how do I find the test statistics and pvalue using excel or statcrunch? thank u

Can you please check my work

A consumer advocacy group recorded several variables on 140 models of cars. The resulting information was used to produce the following regression output that relates the city gas mileage (in mpg) and the engine displacement (in cubic inches). The regression equation ismpg_city= 30.5 - 0.0691 * displacement We have a car that has an engine with 121 cubic inches. Based on this output, what city gas mileage would you predict for this car?  (Round answer to the nearest hundredth (2 decimal places.)

Medical records indicate that people with more education tend to live longer; the correlation is 0.82. The slope of the linear model that predicts lifespan from years of education suggests that on average people, tend to live 1.3 extra years for each additional year of education they have. The slope of the line that would predict lifespan from years of education is a. 130 b. 1.3 c. 82 d. 0.82

The slope of a regression line=-6.879 How do you interpret the slope? Is it significant?