data. The formulas return a value between -1 and 1
Question No: 3
Correct Answer
Marks: 1/1
As per assumptions of Linear Regression: Variance of the error terms should be-
The error terms should be Homoscedastic i.e. the error terms should have constant
variance across different values of independent variable.
Question No: 4
Correct Answer
Marks: 1/1
Df
Sum of
Mean of
1.62
6
0.61
9.76
You Selected
True
You Selected
False
Heteroscedastic
Homoscedastic
You Selected

16/07/2020
Weekly Quiz 1: Predictive Modeling - Great Learning
3/5
squares
the
squares
Regression
1
1258.54863
9
(SSR)
1258.548
639
( MSR )
Residual
6
773.451361
2
(SSE)
128.9085
602
(
MSE)
Total
7
2032
SST
No. of Independent Variables (I.V) = 1
Based on the above table,what would be the value of R Square (R²)?
The R Squared is the ratio of Sum of Squares Regression (SSR) to Total sum of squares
(SST) = 1258.548639/2032 = 0.62
Question No: 5
Correct Answer
Marks: 1/1
A Type II error is a _____________
Question No: 6
Correct Answer
0.74
0.62
You Selected
0.5
0.82
False Positive
False Negative
You Selected

16/07/2020

#### You've reached the end of your free preview.

Want to read all 5 pages?

- Fall '19
- Regression Analysis, VIF