1.)Use the given data to find the best predicted value
of the response variable.
The regression equation is . What is the best predicted value of y
for ?
2.)Use the given data to find the best predicted value of the response variable.
The regression equation is What is the best predicted value of y for ?
Group of answer choices
4.22
27
93.5
18.3
3.) Use the given data to find the best predicted value
of the response variable.
The regression equation is What is the best predicted value of y
for ?
Group of answer choices
57.80
83.42
555.21
71.13
4.) Use the given data to find the best predicted value
of the response variable.
The regression equation relating dexterity scores (x) and
productivity scores (y) for the employees of a company
is What is the best predicted productivity score for a
person whose dexterity score is ?
5.)Use the given data to find the best predicted value
of the response variable.
The regression equation is What is the best predicted
value of y for ?
Group of answer choices
22.0
18.5
19.0
18.0
Group of answer choices
56.30
205.41
76.17
58.20
6.) Use the given data to find the best predicted value
of the response variable.
The regression equation is What is the best predicted
value of y for ?
Group of answer choices
5.0
8.0
7.0
17.0
7.)Use the given data to find the best predicted value
of the response variable.
The regression equation is What is the best predicted
value of y for ?
Group of answer choices
64.04
57.82
79.62
64.71
You did not upload the data. but I understand your question.
So, I will give you idea how to do this question
Let y be your response variable and x be your predictor variable. Use this command in R to fit the model
model = lm(y ~ x)
The above command will fit the model.
let the fitted regression equation is y_hat = b0 + b1*x
so b0 and b1 you can find from the below commands
b0 = model$coefficients[1]
b1 = model$coefficients[2]
Now we want to find the best-predicted value for a given value of X = x_given
It can be found by the following command
predict(m2, data.frame(x = x_given))
all the above information is sufficient for your question
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