Question

1. In a statistics course, a linear regression equation was computed to predict
the final exam score from the score on the first test. The equation was
yˆ=10+.9x
where
yˆ
is the final exam score and
x
is the score on the first test. If Shoshana
scored 95 on the first test, what is the predicted value of her score on the final
exam?
(a) 95
(b) 85.5
(c) 90
(d) 95.5
I have to show all work-so i can get credit

Answer 1

@Michele_Laino

Answer 2

I think that we have to replace \(x=95\) into your formula above

Answer 3

to get the answer

Answer 4

yes!

Answer 5

what about y

Answer 6

here is the computation:
\(\hat y=10+ 0.9 \cdot 95=...?\)

Answer 7

95.5

Answer 8

that's right!

Answer 9

sweet

Answer 10

:)

Answer 11

2. Refer to problem #1. On the final exam Shoshana scores a 98. What is the
value of her residual?
(a) 98
(b) 2.5
(c) -2.5
(d) 0
im sorry but this problem is about the first one

Answer 12

The requested resiadual value is:
\(98-95.5=...?\)

Answer 13

oops..residual*

Answer 14

2.5 = B

Answer 15

by definition, the residual value is given by the difference between the observed value and the corresponding predicted value

Answer 16

that's right!