+21 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
+128474 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
