Answer:
The residual value is -0.75
Step-by-step explanation:
we know that
The residual value is the observed value minus the predicted value.
RESIDUAL VALUE=[OBSERVED VALUE-PREDICTED VALUE]
where
Predicted value.--> the predicted value given the current regression equation
Observed value. --> The observed value for the dependent variable.
in this problem
we have the point (1,4)
so
The observed value is 4
<em>Find the predicted value for x=1 </em>

predicted value is 4.75
so
RESIDUAL VALUE=(4-4.75)=-0.75
Answer:
81
Step-by-step explanation:

9 x 9 = 81
Answer:
G) Yes, because the plots and the linear model both align to produce a similar calculated sum.
H) I need to see the data table again for step 2d.
Step-by-step explanation:
1.) You scatter plot should be off by 6.97, since that was the first difference in your data table set of terms.
Basically subtract all of the GPAs from the Hours in the table.
Ex). Hours - GPA = Difference
or like before,
9.2 - 2.23 = 6.97
Do the rest of the numbers like this then plot the answers. I'd advise you plot your second set of scatter plot points in a different color.
Answer:
every 2 years
Step-by-step explanation:
since it is t/2 for the exponent - thas the answer on khan