4. What is the value of an estimate of ? a. 3.4369 b. 11.813 c. 543.379 d. 1526.645 5. Suppose we wish to test the hypotheses versus Ha: At least one of the is not 0, using the ANOVA F test. What is the value of the test statistic? a. –11.379 b. –4.230 c. 10.912 d. 129.239
4. What is the value of an estimate of ? a. 3.4369 b. 11.813 c. 543.379 d. 1526.645 5. Suppose we wish to test the hypotheses versus Ha: At least one of the is not 0, using the ANOVA F test. What is the value of the test statistic? a. –11.379 b. –4.230 c. 10.912 d. 129.239
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
4. What is the value of an estimate of ?
a. 3.4369
b. 11.813
c. 543.379
d. 1526.645
5. Suppose we wish to test the hypotheses versus Ha: At least one of the
is not 0, using the ANOVA F test. What is the value of the test statistic?
a. –11.379
b. –4.230
c. 10.912
d. 129.239
![Multiple choice questions (50 points)
A correct answer to each question gives 5 points, incorrect answer gives 0 points.
Indicate the answer choice that best completes the statement.
Researchers at a large nutrition and weight-management company are trying to build a model
to predict a person's body fat percent from an array of variables such as body weight, height,
and body measurements around the neck, chest, abdomen, hips, biceps, etc. A variable
selection method is used to build a simple model. SPSS output for the final model is given
below. Based on this, answer questions 1 to 6.
Model Summary
Model
1
Model
1
Model
1
R
9214
Regression
Residual
Total
R Square
.8489
Sum of
Squares
3053.290
543.379
3596.670
(Constant)
Weight
Abdomen circumference
Adjusted
R Square
.842
ANOVA
df
B
-53.954
2
-.162
1.105
46
48
Coefficients
Unstandardized
Coefficients
Std. Error of
the Estimate
3.4369
Mean Square
1526.645
11.813
Std. Error
4.742
038
101
F
129.239
Standardized
Coefficients
Beta
-11.379
-.525
-4.230
1.355 10.912
Sig.
.000
Sig.
.000
.000
.000](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F40b84f79-5732-4974-a946-df35d73d750b%2F7bec5310-6a97-4cb4-b7e9-c290a20cf124%2Fgd5976_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Multiple choice questions (50 points)
A correct answer to each question gives 5 points, incorrect answer gives 0 points.
Indicate the answer choice that best completes the statement.
Researchers at a large nutrition and weight-management company are trying to build a model
to predict a person's body fat percent from an array of variables such as body weight, height,
and body measurements around the neck, chest, abdomen, hips, biceps, etc. A variable
selection method is used to build a simple model. SPSS output for the final model is given
below. Based on this, answer questions 1 to 6.
Model Summary
Model
1
Model
1
Model
1
R
9214
Regression
Residual
Total
R Square
.8489
Sum of
Squares
3053.290
543.379
3596.670
(Constant)
Weight
Abdomen circumference
Adjusted
R Square
.842
ANOVA
df
B
-53.954
2
-.162
1.105
46
48
Coefficients
Unstandardized
Coefficients
Std. Error of
the Estimate
3.4369
Mean Square
1526.645
11.813
Std. Error
4.742
038
101
F
129.239
Standardized
Coefficients
Beta
-11.379
-.525
-4.230
1.355 10.912
Sig.
.000
Sig.
.000
.000
.000
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