Fitted value is a prediction of the mean response value.
According to the statement
we have to explain the fitted value for the regression model and the data which uses to collect the value.
So, For this purpose, we know that the
A Fitted value is a statistical model's prediction of the mean response value when you input the values of the predictors, factor levels, or components into the model.
An the fitted value used in this model is called the predicted values of response variable in the case of multiple regression model.
And data which is used to create the fitted value is the simple data by which we create the fitted value by the predict the value of given data.
So, Fitted value is a prediction of the mean response value.
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Monday to Friday is 5 days
$3.50 for 3 days + $2.00 for 2 days
=$5.50
Answer:
5a - 1
Step-by-step explanation:
add common terms
2a - 5 + 3a + 4
2a + 3a and -5 + 4
5a - 1
:)
Answer:
71.12
Step-by-step explanation:
80*12= 960
37*74=2738
2738-960=1778
1778/25=71.12
80/100 = 96/x
80x=9600
8x=960
x=120
120/4
30
so the answer is b
