MCQ IN COMPUTER SCIENCE & ENGINEERING

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COMPUTER SCIENCE AND ENGINEERING

MACHINE LEARNING

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Suppose that we have N independent variables (X1, X2 ____ Xn) and dependent variable is Y. Now Imagine that you are applying linear regression by fitting the best fit line using least square error on this data.You found that correlation coefficient for one of it’s variable(Say X1) with Y is-0.95.Which of the following is true for X1?
A
Relation between the X1 and Y is weak
B
Relation between the X1 and Y is strong
C
Relation between the X1 and Y is neutral
D
Correlation can’t judge the relationship
Explanation: 

Detailed explanation-1: -The independent variable is the cause. Its value is independent of other variables in your study. The dependent variable is the effect. Its value depends on changes in the independent variable.

Detailed explanation-2: -The more precise method involves the least squares method. This is a statistical procedure to find the best fit for a set of data points by minimizing the sum of the offsets or residuals of points from the plotted curve. This is the primary technique used in regression analysis.

Detailed explanation-3: -According to the rule of correlation coefficients, the strongest correlation is considered when the value is closest to +1 (positive correlation) or-1 (negative correlation). A positive correlation coefficient indicates that the value of one variable depends on the other variable directly.

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