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, [tex]a = \frac{\sum y \sum x^2 - \sum x\sum xy}{n\sum x^2 - (\sum x)^2}[/tex]

here given table is,

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

pairs sold, y : 16 13 10 8 6 2

so, [tex]\sum x = 158[/tex] , [tex]\sum y = 55[/tex], [tex]\sum xy = 1315[/tex],

[tex]\sum x^2 = 4308[/tex] and [tex]\sum y^2 = 629[/tex],

thus, slop of the given line is,

[tex]a = \frac{55\times 4308-158\times 1315}{6\times 4308-(158)^2}[/tex]

⇒ [tex]a = \frac{29170}{884}[/tex]

⇒ [tex]a =32.9977375566[/tex]≈ 33

answer

step-by-step explanation:

b and c

step-by-step explanation:

the answer is a i belaeve atleast thats what my calculator just gfave me

step-by-step explanation:

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