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

 Apr 5, 2019
edited by Clouds  Apr 5, 2019

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




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





cool cool  cool       

 Apr 5, 2019

ill make sure to def take note of this, thank you SO much, sending virtual fist bumps! lol

Clouds  Apr 5, 2019

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