# Question: Fitting a straight line to a set of data yields

Fitting a straight line to a set of data yields the following prediction line:

Ŷi = 16 – 0.5 Xi

a. Interpret the meaning of the Y intercept, b0.

b. Interpret the meaning of the slope, b1.

c. Predict the value of Y for X = 6.

Ŷi = 16 – 0.5 Xi

a. Interpret the meaning of the Y intercept, b0.

b. Interpret the meaning of the slope, b1.

c. Predict the value of Y for X = 6.

## Answer to relevant Questions

In Problem 12.8 on page 424, you used annual revenues to predict the value of a baseball franchise. Perform a residual analysis for these data (stored in BBValues ). Based on these results, evaluate whether the assumptions ...What is the relationship between the price of crude oil and the price you pay at the pump for gasoline? The file Oil & Gasoline contains the price ($) for a barrel of crude oil (Cushing, Oklahoma, spot price) and a gallon of ...You are testing the null hypothesis that there is no linear relationship between two variables, X and Y. From your sample of n = 20, you determine that SSR = 60 and SSE = 40. a. What is the value of FSTAT? b. At the a = ...The volatility of a stock is often measured by its beta value. You can estimate the beta value of a stock by developing a simple linear regression model, using the percentage weekly change in the stock as the dependent ...In Problem 12.5 on page 424, you used the summated rating of a restaurant to predict the cost of a meal. The data are stored in Restaurants . For these data, SYX = 9.094 and hi = 0.046319 when X = 50. a. Construct a 95% ...Post your question