RESEARCH METHODOLOGY

STATISTICAL TECHNIQUES AND TOOLS

REGRESSION

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
What should a residual plot look like?
A
Distinct Pattern
B
Curve
C
Random with no pattern
D
A few clumps
Explanation: 

Detailed explanation-1: -If the points show no pattern, that is, the points are randomly dispersed, we can conclude that a linear model is an appropriate model. If the points show a curved pattern, such as a U-shaped pattern, we can conclude that a linear model is not appropriate and that a non-linear model might fit better.

Detailed explanation-2: -The random pattern of the residual plot can even disappear if one outlier really deviates from the pattern of the rest of the data.

Detailed explanation-3: -Checking normality of variance The Histogram of the Residual can be used to check whether the variance is normally distributed. A symmetric bell-shaped histogram which is evenly distributed around zero indicates that the normality assumption is likely to be true.

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