The residual value comes out to be 2.94 cm and height is 157.06 cm
<u>Explanation:</u>
The regression equation is calculated at the first step.
height = 105.08 plus 2.599 multiply foot length
At foot length = 20cm, height = 105.08 plus 2.599 multiply 20
= 157.06 cm
Residual = Actual minus predicted value = 160 minus 157.06
=2.94 cm
B) The residual standard deviation generally gives a sense of the goodness of fit of goodness of regression equation on our data. The magnitude tells us that how much will be predicted values from model will vary from actual values. the linear model is justified.
This means that
+- 6 < √42 < +- 7
hope it helps
Answer:
a) $8.80
b) 40%
Step-by-step explanation:
<u>Part (a)</u>
Given:
- Original price = $22
- Discounted price = $13.20
Original price - discounted price
= $22 - $13.20
= $8.80
<u>Part (b)</u>
percentage = (amount discounted ÷ original price) x 100
= (8.80 ÷ 22) x 100
= 40%
