Attached is a question regarding regressions and F Tests. ?Could I get help in calculating answers for this (if you could show me how calculations are done to get answers it will help me with future questions)? ?Thank you!
1) A real estate agent wants to make a regression equation to help her predict the price of houses in a
specific neighborhood. She uses the number of bedrooms, the square footage and the age of the
houses in her initial collection. Using the graphs and outputs, answer the following questions:
a) What are the independent and dependent variables? b) Discuss the feasible linearity by using the scatterplots below. The output is on the next page ? please use it to answer the rest of the questions. Predictor
numb rooms Coef
6.842 S = 21.4788 SE Coef
3.148 R-Sq = 71.2% T
0.043 R-Sq(adj) = 66.6% Analysis of Variance
0.000 c) Discuss the coefficient of determination and the correlation. Use the proper ones for multiple
regression and answer in sentences. Aka R^2adj and Radj. d) Run the F test and tell us if further analysis gives any information. (Set up Ho and Ha and discuss). e) If you rejected the null from the F test, then looking at the output, what variables do you think are
important to the model?
(Give this a try ? we will discuss it in class) f) Predict the price of a house that is 30 years old, 10 rooms and 2500 square feet.
This question was answered on: Sep 18, 2020
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