Model 1: (B) Use a simple linear regression of y = Price against X = AGE. State your NULL & ALTERNATE hypotheses (for each of these models) and your conclusions. Use α = .05 throughout this project (for each of these models). Decide how much the value of a car is lowered if it is one year older.
Added by Jason Y.
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ALTERNATE hypothesis (Ha): There is a relationship between the age of a car and its price. Show more…
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c. Interpret the regression equation (in dollars). (Round your answer to the nearest dollar amount.) For each additional year, the car price decreases in value.
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Data for age (in years) and price (in hundreds of dollars) for a particular brand of car are provided in the accompanying data table. Presume that the assumptions for regression inferences have been met. x(age) = 6, 6, 6, 2, 2, 5, 4, 5, 1, 4 y(price) = 288, 278, 293, 427, 383, 314, 358, 326, 423, 325 Obtain a point estimate for the mean price of all 2-year-old cars of this brand.
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