Prior to fitting a linear regression model with x and y variables, the y variable was transformed by performing a cube root. The following computer output was produced. CoefficientsStandard Errort StatP-value

Intercept 3.482 2.467 23.840.0021

x-variable −2.783 0.024 −8.370.0013

R-sq. = 80.34%R-sq.(adj) = 82.56%

Part A: Interpret the value of r2.

Part B: Assuming the residual plot of the transformed data shows a pattern, comment on the appropriateness of this linear regression for modeling the relationship between the transformed variables.

in the math equation 8 x 7 = 56, the 8 and the 7 are both factors of 56, since in this lesson we will use square tiles to figure out the factors of a whole find as many different arrays as you can, but follow one important rule: all the rows must have the i can make two rows of nine, so 2 and 9 are both factors of 18.

step-by-step explanation:

it is not that hard all u have to do is plot the graph

step-by-step explanation:

1^3 + 2^3 + 3^3 +4^3 = (1+2+3+4)^2

step-by-step explanation:

i am only able to answer the first part. i am not sure about the second part. sorry