The statements about least squares regression analysis is true are I and III.
<h3>What is meant by regression analysis?</h3>
The statistical technique of regression analysis demonstrates the link between two or more variables. The method evaluates the relationship between a dependent variable and independent factors, and is frequently presented as a graph.
You can anticipate the effects of the independent variable on the dependent one by creating a regression analysis. For instance, we can claim that a linear regression model can adequately account for age and height.
Here,
From the given information in the question:
The statements I and III are correct.
And the statements are:
A point with a large residual is an outlier and the removal of an influential point from the data set could change the value of the correlation coefficient.
So, the statements I and III are correct for the given information in the question.
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Answer:
Step-by-step explanation:
Actually, you have not "given" the domain.
The domain of F(x)=x^2+2 is "the set of all real numbers," because F(x)=x^2+2 is a polynomial.
F(x^2) = (x^2) + 2 = x^4 + 2. Again, this is a polynomial and the domain is "the set of all real numbers."
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