Use linear regression to find the equation for the linear function that best fits this data. Round both numbers to two decimal places.

Write your final answer in a form of an equation y = m x + b

x
1
2
3
4
5
6

y
87
102
119
149
158
178

The equation of the linear function that best fits the data is,

y = 18.66x + 66.87.

Step-by-step explanation:

The line of best is of the form: y = mx + b.

Here, m = slope of the line and b = intercept.

The formula to compute the intercept and slope are:

Consider the table below for the values of ∑ X, ∑ Y, ∑ X² and ∑ XY.

Compute the value of  intercept and slope as follows:

The line of best fit is:

Thus, the equation of the linear function that best fits the data is y = 18.66x + 66.87.

can someone answer this question plz

step-by-step explanation:

a.) list the factors of 40.

1/2/4/5/8/10/20/40

b.) list the factors of 40 that represent the number of cans that could be on each shelf.

5

c.) how many different arrangements of cans are possible?

just one because if you put more on one shelf you will go way over 40 and the cabinet will probably break.

d.) what are the possible arrangements of the cans?

put 5 cans on each self to reach 40 cans in total.

e.) which arrangement uses all the shelves?

5 because you can put 5 cans on each shelf, and since there are 8 shelfs you are equally going to get 40 cans.