A staff analyst for a cafeteria chain wishes to investigate the relation between the number of self-service coffee dispensers (X) in a cafeteria line and sales of coffee (Y) 1. Estimate the linear regression line. Graph the line on the scatter plot. 2. Estimate the quadratic regression equation. Graph the curve on the scatter plot. 3. Does the second order model provide significantly more predictive power than that provided by the straight-line model at a= 0.05? Explain. (Show calculations) 4. Which of the two models do you recommend and why? 5. Would the third order model be any better? Explain showing calculations and computer output. 6. Attach appropriate computer output to support your answers.

answer: 2 and 1

step-by-step explanation: got this question

$97520

step-by-step explanation:

add 6% to the value she got from selling the house.

2 & 7

step-by-step explanation:

he climbs 300 ft/hr at a constant rate. the peak is at 1,500 ft.

when going up, he reaches 600 ft in 2 hours. remember, that he is going in a constant rate. divide 600 with 300:

600/300 = 2

assuming that he takes the same route back (meaning that it's a 1500 ft route back, you can solve.

note also that you are solving when he gets back to 600 ft after he reaches the peak.

first, find the amount of hours it takes to get up the peak. divide the total amount (1500), with the ft/her (300) to get the amount of hours (x):

1500/300 = x

x = 5

it takes jamie 5 hours to get up. now, he is returning down, and reaches 600 (his current destination). remember that he climbs at a constant 300 ft/hr. divide 600 with 300:

600/300 = x

x = 2

now add the two numbers together.

x = 5 + 2 = 7

jamie takes 7 hours to go up the mountain and reach his current position when descending.

(total amount/constant rate) = (time).

remember that it is a constant rate, so in total, when he gets back down the mountain, it will take the same amount of time as when he goes up. the total amount for the round trip is: 5 + 5 = 10.

~