You have estimated a linear regression model relating y to x. your professor says, "i think that the relationship between y and x is nonlinear." how would you test the adequacy of your linear regression? (check all that apply )
a. compare the fit between of linear regression to the non-linear regression model.
b. there is evidence in favor of a non-linear relationship if there is zero correlation between the dependent and independent variable.
c. if adding a quadratic term, you could test the hypothesis that the estimated coefficient of the quadratic term is significantly different from zero.
d. all of the above.

C

Step-by-step explanation:

If we add a quadratic term to our correlation and its coefficient is tending to zero, we can say that the term becomes unnecessary and therefore the relationship between the variables X and Y tends more to be linear. We can also check the correlation coefficients when making the two correlations.

y-1700=200(x+4)

step-by-step explanation:

200(x+4) is 200x + 800 she is saving 200 per week x is the weeks and the -1700 is. us that’s howmuch she already had

the simplified form is

step-by-step explanation:

we want to simplify the expression,

let us change the middle bar to a normal division sign to obtain,

we multiply the first fraction by the reciprocal of the second fraction to obtain,

we factor to obtain,

we cancel the common factors to get,

we simplify to get,

the correct answer is b