The Simple Linear Regression model is       Y = b0 + b1*X1 + u

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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The Simple Linear Regression model is
 
 
 
Y = b0 + b1*X1 + u
 
 
 
and the Multiple Linear Regression model with k variables is:
 
 
 
Y = b0 + b1*X1 + b2*X2 + ... + bk*Xk + u
 
 
 
Y is the dependent variable, the X1, X2, ..., Xk are the explanatory variables, b0 is the intercept, b1, b2, ..., bk are the slope coefficients, and u is the error term,
 
 
 
Yhat represents the OLS fitted values, uhat represent the OLS residuals, b0_hat represents the OLS estimated intercept, and b1_hat, b2_hat,..., bk_hat, represent the OLS estimated slope coefficients.
 
QUESTION 4
Suppose we have an SLR model, where the dependent variable (Y) represents ‘how satisfied someone is with his/her life, from 0 to 100’ (the higher the value, the higher the satisfaction with life), and the explanatory variable (X1) represents ‘personal annual income in £1,000’. The estimated OLS regression line is: 
Yhat = 33.2 + 0.74*X1. 
According to this model, what is the predicted life satisfaction, for someone with personal annual income of £22,000?
 
A. 74 satisfaction units
B. 0.74 satisfaction units
C. 49.48 satisfaction units
D. 16313.2 satisfaction units
 
 
QUESTION 5
In the SLR model, suppose the explanatory variable (X1) represents how much a school spends per student (in £1000), and the dependent variable (Y) represents the average test score (in percent) in a standardised test in that school. Suppose you collect a sample of different schools and estimate this model by OLS. Then the estimated intercept b0_hat, represents:
 
A. by how much the average test score (in percent) is predicted to change, if spending per student in a school increases by £1000
B. The predicted spending per student for a school, if the average test score in that school is equal to 0%
C. the predicted average test score (in percent), for a school that spends £0 per student
D. the predicted average test score (in percent) in a school, irrespective of the spending per student in that school
 
 
QUESTION 6
Suppose you have the following data:
Y X
-1 4
-2 2
1 -1
4 -3
3 1
-3 4
What is the OLS fitted line? 
 
A. Yhat = 1.178 -1.034*X1
B. Yhat = -0.845 + 0.333*X1
C. Yhat = 1.441 - 0.822*X1
D. Yhat = 1.305 - 0.833*X1

 

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