14.3k views
4 votes
Develop the estimated regression equation that can be used to predict the price given the weight. Also report the standard error of the estimate, , and . The regression equation is (to 1 decimal) (to 4 decimals) (to 4 decimals) (to 4 decimals) Test for the significance of the relationship at the .05 level of significance. -value is (to 4 decimals). We _________ that the two variables are related. Did the estimated regression equation provide a good fit

User Sun Liwen
by
7.0k points

1 Answer

4 votes

Answer:

Following are the response to the given question:

Explanation:

For question 1:

Following are the regression equation:


price = 2044.03 - 28.35 \ \ (weight)


\sigma = 94.353\\\\R^2 = 0.7647\\\\R^2\ (adj.) = 0.75\\\\

For question 2:

Test of connection importance at 5 percent significance:


p-value < 0.000001\\\\p-value< 0.05

Two variables could be said to be connected.

For question 3:


R^2 = 0.7647

The computed equations of the regression fit well.

User BogdanM
by
7.0k points
Welcome to QAmmunity.org, where you can ask questions and receive answers from other members of our community.