Step-by-step explanation:
(x + 8)(x - 1) = x^2 - x + 8x - 8 = x^2 + 7x - 8.
Hence a = 1, b = 7, c = -8. (Options A, D and E)
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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You can not do the first one because the things do not add up
So first find the factors of the denomenatores
14=2 times 7
7=7
21=7 times 3
common one would be having at least one 2, one 7, and one 3
find what numbers can be made by all of them
2 times 7 times 3
2 times 7
7
7 times 3
they are all in it
2 times 3 time s7=42
common denoomenator is 42
