Respuesta :
In multiple linear regression analysis, the correlation among independent variables is termed multicollinearity i.e. option C.
Definition:
a) Homoscedasticity: Homoscedasticity, also known as homogeneity of variances, is the presumption that variations in various groups being compared are equivalent or comparable.
b) Linearity: A mathematical relationship (function) that can be graphically represented as a straight line is said to be linear. Proportionality and linearity are closely linked concepts.
c) Multicollinearity: Multiple independent variables in a model that are correlating from a statistical concept known as multicollinearity.
d) Adjusted Coefficient of Determination: The number of variables in a data collection is taken into account when calculating the adjusted coefficient of determination (also known as adjusted R-squared). Additionally, it penalizes you for any points that deviate from the model.
Hence, the required choice is Option C.
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