APPLIED STATISTICS (MULTIPLE REGRESSION) UPVOTE WILL BE GIVEN. PLEASE ANSWER THE PROBLEM BY USING SPSS OR EXCEL ONLY (NOT HANDWRITTEN). NO LONG EXPLANATION NEEDED. TAKE A SCREENSHOTS AND ANSWER THE QUESTION IN SENTENCES. a. Identify the dependent/s and independent variable then estimate the multiple regression equation. b. What is the r-squared value and what is its implication? c. What variable/s are considered significant? What is the p-value?

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter3: Straight Lines And Linear Functions
Section3.4: Linear Regression
Problem 12SBE: Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4
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APPLIED STATISTICS (MULTIPLE REGRESSION)

UPVOTE WILL BE GIVEN. PLEASE ANSWER THE PROBLEM BY USING SPSS OR EXCEL ONLY (NOT HANDWRITTEN). NO LONG EXPLANATION NEEDED. TAKE A SCREENSHOTS AND ANSWER THE QUESTION IN SENTENCES.

a. Identify the dependent/s and independent variable then estimate the multiple regression equation.

b. What is the r-squared value and what is its implication?

c. What variable/s are considered significant? What is the p-value?

6. Fit a multiple linear regression analysis to the following data set.
x1
1
2
3
4
5
6
7
8
9
10
x2 x3
11
10
9
8
7
6
5
4
x4
16
9
4
1
2
1
-1
4
-2
9 -3
16 -4
-5
3
2 25
4
3
2
1
1
y
275
183
140
82
97
122
146
246
359
482
Transcribed Image Text:6. Fit a multiple linear regression analysis to the following data set. x1 1 2 3 4 5 6 7 8 9 10 x2 x3 11 10 9 8 7 6 5 4 x4 16 9 4 1 2 1 -1 4 -2 9 -3 16 -4 -5 3 2 25 4 3 2 1 1 y 275 183 140 82 97 122 146 246 359 482
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