The least squares line of best fit for a data set with a positive correlation coefficient always has a:
a. positive slope.
b. positive x-intercept.
c. positive y-intercept.
d. both a and c are correct.

A. positive slope.

Step-by-step explanation:

In the least square linear regression of Y on X, the straight line of best fit is given by,

------------------(1)

[where is the estimated value of Y]

Clearly,  here,

Slope pf the line = ---------------------------------(2)

Y- intercept = -----------------(3)

and,

X - intercept = ----------------(4) [putting in (1) and taking the value of X]

So,

since

[since or will result in a degenerate distribution, hence these cases are discarded]

so, correlation coefficient = > 0 implies

A. positive slope. [as evident from (1)]

clearly from (3) and (4) all the other options are false.

i dont understand the question? ?

step-by-step explanation:

to find the perimeter of the rectangle this is the expression:

x-9+x-9+3x-4+3x-4=138

if we simplify it:

8x-26=138

remember, 138 is what it all adds up to

the length is 11.5cm

the width is 57.5cm

the area is 661.25cm^2

the answers might not be correct use at own risk