MCQ IN COMPUTER SCIENCE & ENGINEERING

COMPUTER SCIENCE AND ENGINEERING

MACHINE LEARNING

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Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]

If we decrease the input variable by one unit in a simple linear regression model. How many units of the output variable will change?

A	reduced by Intercept
B	increased by Intercept
C	increased by Slope
D	reduced by Slope

Explanation:

Detailed explanation-1: -Neither t nor F statistics are affected by changing the units of measurement of any variables. If the variables appears in logarithmic form, changing unit of measurement does not affect the slope coefficient.

Detailed explanation-2: -When an increase in the input variable X is observed with a simultaneous increase or decrease in output variable Y, there’s said to be a correlation between the two. This is a measure of how strongly X and Y relate to each other.

Detailed explanation-3: -what changes in regression when you change the inputs. May or may not change B1. If B1 was a comparison between nurses and lawyers, and the new added group are sociologists, B1 won’t change, if there are no other predictor variables. If there are other predictor variables, all coefficients will be changed.

There is 1 question to complete.