Question

pace A 7- Requires Respondus LockDown Browser Saman Ansari: Attempt 1 Time Left:2:11:54 Question 4 (5 points) Question (D): You have performed a simple linear regression model to understand the effect of Number of Bedrooms on House Price House Price is in Thousand S and Number of Bedrooms is in number of bedrooms Coefficient t-statistie p-value Intercept 28.77 6.52 0.000 13.27 Number of Bedrooms 9.18 0.000 -2 If the value of R-square-13% in the above simple linear regression model. Choose the correct statement from below: 15 The effect of number of bedrooms on house price is 13% 18 13% of the variability in number of bedrooms is explained by house price using the linear regression model 13% of the variability in house price is explained by number of bedrooms using the linear regression model R-square measures the lack-of-fit of the regression model Question 5 (5 points) MacBook Air

Answer 1

From the given information,

We can conclude that,

13% of the variability in house price is explained by number of bedrooms using the linear regression model.

Hence,

Third option is correct.

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