Question 12
0.5 pts
astudy*475
Formed On
Tenan
Onciers: Relov'
regression output with body weight Doninns nice
names: ind JC2
Kolanamor
reliable Percent body fat F the reasons 'nible
Coefficients = Estimate Std Error t value Pr(>|t|)
(Intercept) 24.3337 10.8639 2.238 0.0405
body weight 1767 0.405 4.365 0.0288
height 5172 1.961 2.638 0.03428
age 2254 0.2357 6.027 0.006101
value profit 240 0.0288 365 0.3428
due standard error 638 60 degrees freedom Multiple R-squared: 0.2489 Adjusted R-squared: 0.2113 F-statistic: 6.27 and 60 DF_ p-value: 0.006101
From the output, which of the following is the correct "test-statistic for the hypothesis test that predicts the response variable?"
4.365
2.638
0.756
6.027
Question 13
0.5 pts
A study was performed on female college athletes
Regression output
variable weight
names: height (inches) and 262
the Explanation
variable Percent body fat is the response variable
Coefficients- Estimate Std_Error (Intercept) 24.3337 10.8639 body weight 1767 0.405 height 5172 1.961 age 2254 0.2357
value Pr(>t) 0.0288
0.106 0.3448
Residual standard error 638 60 degrees freedom Multiple R-squared: 0.2489 Adjusted R-squared: 0.2113 F-statistic: 6.27 on and 60 DF_ p-value 0.006101
Based on the test, the value indicates evidence
rejecting the null hypothesis. The next step
perform t-tests on each explanatory variable:
this statement
This statement
There
For now
perform t-tests on each explanatory variable. The p-value from the F-test indicates that explanatory variables should remain
in the model.
This statement. There is no need to include any other variables at this point.
Perform t-tests on each explanatory variable.
The p-value from the test indicates that none
of the explanatory variables help predict percent body fat
in women college athletes.
This statement is false: The p-value from the F-test indicates we should not reject the null hypothesis from the F-test.