So many generous people were able to help me on my two other questions and was wondering if anyone could understand my 2nd one :) i had accidentally uploaded the wrong chart but i keep my word and will repost for a better view!;3

for this one i also have to create one, most likey a residual plot, and fill it in and lastly to explain whether a linear regression line is a good for for the data set

(i have it fixed:)

full question was: a company manager found the number of vacay days available and the # of vacay days taken during one year for a sample of employees as shown in the table.

the equation of the regression line is in the picture:)

once again thank you, its been really stressful these days

Clouds Apr 5, 2019

#1**+1 **

Don't know much about this.....but.....

The correlation coefficient is ≈ .97 which is very high....thus...the regression line is a very good fit

Predicted days are found by plugging the vacation days available into the regression formula for x

The Residual Column = actual days - predicted days

So.....

Predicted Days Residual

7.2 -1.2

15.6 -1.6

6 2

24 1

20.4 -1.4

10.8 0.2

10.8 -1.8

20.4 0.6

8.4 -0.4

13.2 2.8

Here is the residual graph....the predicted point is plotted first with its residual point second

https://www.desmos.com/calculator/hzkkows7m0

CPhill Apr 5, 2019