Answer:
The points are randomly scattered with no clear pattern
The number of points is equal to those in the scatterplot.
Step-by-step explanation:
The points in the residual plot of the line of best fit that is a good model for a scatterplot are randomly scattered with no clear pattern (like a line or a curve).
The number of points in the residual plot is always equal to those in the scatterplot.
It doesn't matter if there are about the same number of points above the x-axis as below it, in the residual plot.
The y-coordinates of the points are not the same as the points in the scatterplot.
Answer:
a.the goodness of fit for the estimated multiple regression equation increases.
Step-by-step explanation:
As the value of the multiple coefficient of determination increases,
a. the goodness of fit for the estimated multiple regression equation increases.
As we know that the coefficient of determination measures the variability of response variable with the help of regressor. As we know that if the value of the coefficient of determination increases strength of fit also increases.
Answer:
it's d
Step-by-step explanation:
≤ may refer to:
Inequality (mathematics), relation between values; a ≤ b means "a is less than or equal to b"
so the answer D is right because the face always ponit to the bigger number if x is -14 then this stament would be true
900. You round up, because it is above 850. :-)
Answer:
See picture attached
Step-by-step explanation:
I hope this helps you.
Please give me brainliest if it's correct
