a. How many apartment buildings were in the sample? b. Write the estimated regression equation (to 2 decimals if necessary). + %3D c. What is the value of sp1 (to 4 decimals)?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
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d. Use the F statistic to test the significance of the relationship at a .05 level of
significance.
Compute the F test statistic (to 2 decimals).
What is the p-value? Use Table 1 of Appendix B.
p-value is Select
What is your conclusion?
Select
e. Predict the selling price of an apartment building with gross annual rents of
$50,000 (to 1 decimal).
$
thousands.
Transcribed Image Text:d. Use the F statistic to test the significance of the relationship at a .05 level of significance. Compute the F test statistic (to 2 decimals). What is the p-value? Use Table 1 of Appendix B. p-value is Select What is your conclusion? Select e. Predict the selling price of an apartment building with gross annual rents of $50,000 (to 1 decimal). $ thousands.
The commercial division of a real estate firm is conducting a regression analysis
of the relationship between x, annual gross rents (in thousands of dollars), and
y, selling price (in thousands of dollars) for apartment buildings. Data were
collected on several properties recently sold and the following computer output
was obtained.
The regression equation is
Y = 20.0 + 7.25 X
Predictor
Сoef
SE Coef
Constant
20.000
3.2213
6.21
7.250
1.3628
5.29
Analysis of Variance
SOURCE
DF
SS
Regression
1
41,587.1
Residual Error
7
Total
8
51,984.5
a. How many apartment buildings were in the sample?
b. Write the estimated regression equation (to 2 decimals if necessary).
+
c. What is the value of sb1 (to 4 decimals)?
Transcribed Image Text:The commercial division of a real estate firm is conducting a regression analysis of the relationship between x, annual gross rents (in thousands of dollars), and y, selling price (in thousands of dollars) for apartment buildings. Data were collected on several properties recently sold and the following computer output was obtained. The regression equation is Y = 20.0 + 7.25 X Predictor Сoef SE Coef Constant 20.000 3.2213 6.21 7.250 1.3628 5.29 Analysis of Variance SOURCE DF SS Regression 1 41,587.1 Residual Error 7 Total 8 51,984.5 a. How many apartment buildings were in the sample? b. Write the estimated regression equation (to 2 decimals if necessary). + c. What is the value of sb1 (to 4 decimals)?
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