a. Complete the missing entries in this Excel Regression tool output. Enter negative values as negative numbers. ANOVA df SS MS Significance F Regression 1.7621 2. 0.88105 Residual .1179 0.01685 Total 1.88 Coefficients Standard Error t Stat P-value Intercept -1.4053 0.4848 0.24 X1 0.0235 0.0087 0.0302 X2 0.0049 0.0011 0.003
a. Complete the missing entries in this Excel Regression tool output. Enter negative values as negative numbers. ANOVA df SS MS Significance F Regression 1.7621 2. 0.88105 Residual .1179 0.01685 Total 1.88 Coefficients Standard Error t Stat P-value Intercept -1.4053 0.4848 0.24 X1 0.0235 0.0087 0.0302 X2 0.0049 0.0011 0.003
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:The admissions officer for Clearwater College developed the following estimated regression equation relating the final college GPA to the
student's SAT mathematics score and high-school GPA.
ŷ = -1.4053 + .0235x1 + .0049x2
where
= high-school grade point average
xz = SAT mathematics score
y = final college grade point average
Round your answers to 4 decimal places.
a. Complete the missing entries in this Excel Regression tool output. Enter negative values as negative numbers.
ANOVA
df
MS
F
Significance F
Regression
2
1.7621
0.88105
Residual
.1179
0.01685
Total
1.88
Coefficients
Standard Error
t Stat
P-value
Intercept
-1.4053
0.4848
0.24
x1
0.0235
0.0087
0.0302
X2
0.0049
0.0011
0.003
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