F x is the percent return of U. S. stocks and y is the percent return on overseas stocks in the same year, the least-squares regression lie for predicting y from x is y = 0.47x – 1.53. You think U. S. stocks will have a return of 10% in 1999. Using this regression line, you predict that the return on overseas stocks will be A. 7.4%
B. −2.23%
C. 2%
D. 3.17%

x = -4

step-by-step explanation:

- 20 - 4(x + 3) = 4x

=> -20 - 4x - 12 = 4x

=> - 32 -4x = 4x

=> -32 = 4x + 4x

=> - 32 = 8x

=> -32/8 = x

=> -4 = x

i think u have 12 apples sorry again i don't really know if it correct i'm just tryna hrlp people out.

answer: 33 ( approx)

step-by-step explanation:

since, in the linear regression formula, the slope is the a in the equation y = b + ax ( by comparing it with the general equation of line y = mx + c )

where,

here given table is,

price ($), x   :           18         23       25       29       30       33

pairs sold, y :         16         13         10       8         6       2

so, ,   ,   ,

and   ,

thus, slop of the given line is,

⇒  

⇒   ≈ 33