15. Using the output from the regression, what would be the predicted course grade for a student who scored an 82 on Test 1? (Round to 2 decimal places) 16. Students need to pass Dr. Wright's course with a B or better to qualify for a research assistant position in his lab. A B starts at 83%. What score does a student need to earn on Test 1 to predict that she would get at least 83 for Course %? (Round to 2 decimal places.)
15. Using the output from the regression, what would be the predicted course grade for a student who scored an 82 on Test 1? (Round to 2 decimal places) 16. Students need to pass Dr. Wright's course with a B or better to qualify for a research assistant position in his lab. A B starts at 83%. What score does a student need to earn on Test 1 to predict that she would get at least 83 for Course %? (Round to 2 decimal places.)
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Question
15. Using the output from the regression, what would be the predicted course grade for a student who scored an 82 on Test 1? (Round to 2 decimal places)
16. Students need to pass Dr. Wright's course with a B or better to qualify for a research assistant position in his lab. A B starts at 83%. What score does a student need to earn on Test 1 to predict that she would get at least 83 for Course %? (Round to 2 decimal places.)
![Model Summary
Std. Error of
the Estimate
Adjusted R
Model
R
R Square
Square
1
.568*
322
308
6.48743
a. Predictors: (Constant), Test 1 (%)
ANOVA"
Sum of
Squares
Model
df
Mean Square
F
Sig.
Regression
960.521
„000
1
960.521
22.822
Residual
2020.162
48
42.087
Total
2980.683
49
a. Dependent Variable: Course %
b. Predictors: (Constant), Test 1 (%)
Cofficients
Standardized
Unstandardized Coefficients Coeffiients
Model
B
Std. Error
Beta
Sig.
(Constant)
55.423
6.331
8.755
.000
Test 1 (%)
370
„077
.568
4.777
.000
a. Dependent Variable: Course %](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F36eaf35d-c8c1-437a-a7e5-394e1808c2b1%2Fac071dc3-f513-4f5e-bcec-07063e7fca92%2Fwv4gjaj_processed.png&w=3840&q=75)
Transcribed Image Text:Model Summary
Std. Error of
the Estimate
Adjusted R
Model
R
R Square
Square
1
.568*
322
308
6.48743
a. Predictors: (Constant), Test 1 (%)
ANOVA"
Sum of
Squares
Model
df
Mean Square
F
Sig.
Regression
960.521
„000
1
960.521
22.822
Residual
2020.162
48
42.087
Total
2980.683
49
a. Dependent Variable: Course %
b. Predictors: (Constant), Test 1 (%)
Cofficients
Standardized
Unstandardized Coefficients Coeffiients
Model
B
Std. Error
Beta
Sig.
(Constant)
55.423
6.331
8.755
.000
Test 1 (%)
370
„077
.568
4.777
.000
a. Dependent Variable: Course %
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