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.
Step-by-step explanation:
×=100
1. Divded 35 by 14 and u get 0.4
2
Divided 40 by 0.4 and u get 100
Converting feet to inches, 8*12=96 and 96*4=384. Next, 40*12=480. Since 384*x (if x represents the cost per inch of crown molding)=16*100=1600 cents due to that for every inch, we add x amount of money, we can find x to be 1600/384=800/192=400/96=200/48=100/24=50/12=25/6 by simply dividing both the numerator and denominator by 2 each time. Since we add x amount of money for every inch, and we have 480 inches, 480*x=480*25/6=2000 cents=2000/100=20 dollars is our answer
Events A and B are independent if the following holds true:
P(A ∩ B) = P(A) * P(B)
where P(A ∩ B) is the probability of A and B, P(A) is the probability of A, and P(B) is the probability of B.
Setting A = "snow" and B = "cold weather", and plugging in the above numbers will give you the answer.
Answer: $2,100.25
Step-by-step explanation:
$135.50 x 15.5 = $2,100.25
