In professor friedman's economics course the correlation between the students' total scores before the final examination and their final examination scores is r = 0.52. the pre-exam totals for all students in the course have mean 300 and standard deviation 37. the final exam scores have mean 70 and standard deviation 12. professor friedman has lost julie's final exam but knows that her total before the exam was 284. he decides to predict julie's final exam score from her pre-exam total. question 1. calculate the slope and intercept of the least squares regression line where the x-variable is pre-exam total score and the y-variable is final exam score. slope (use 4 decimal places in your answer) intercept (use 4 decimal places in your answer) question 2. what is the value of julie's final exam score predicted by the least squares

the answer to this question is in the pic

i dont know

step-by-step explanation:

umm. i dont know

simplifying

5(x + -6) = 2(x + 3)

reorder the terms:

5(-6 + x) = 2(x + 3)

(-6 * 5 + x * 5) = 2(x + 3)

(-30 + 5x) = 2(x + 3)

reorder the terms:

-30 + 5x = 2(3 + x)

-30 + 5x = (3 * 2 + x * 2)

-30 + 5x = (6 + 2x)

solving

-30 + 5x = 6 + 2x

solving for variable 'x'.

move all terms containing x to the left, all other terms to the right.

add '-2x' to each side of the equation.

-30 + 5x + -2x = 6 + 2x + -2x

combine like terms: 5x + -2x = 3x

-30 + 3x = 6 + 2x + -2x

combine like terms: 2x + -2x = 0

-30 + 3x = 6 + 0

-30 + 3x = 6

add '30' to each side of the equation.

-30 + 30 + 3x = 6 + 30

combine like terms: -30 + 30 = 0

0 + 3x = 6 + 30

3x = 6 + 30

combine like terms: 6 + 30 = 36

3x = 36

divide each side by '3'.

x = 12

simplifying

x = 12

this should .

37 = ending with 7

unit's digit in the cube..3

56 = ending with 6

unit's digit in the cube..2

133 = ending with

unit's digit in the cube..7

hope it : ( : )