In a study of the performance of a new engine design, the weight of 22 aircrafts (in tons) and the top speed (in mph) were recorded. A regression line was generated and shown to be an appropriate description of the relationship. The results of the regression analysis are below. Depend Variable: Top Speed
Variable
Constant
Weight Coefficient
11.6559
3.47812 s. e. of Coeff
0.3153
0.294 t-ratio
37
11.8 prob
≤ 0.0001
≤ 0.0001
R squared = 87.5% R squared (adjusted) = 86.9%
s = 0.6174 with 22 - 2 = 20 degrees of freedom

Part A: What is the LSRL based on the analysis provided? Make sure to identify what the variables represent in the context of the problem. (4 points)

Part B: What is the predicted value for the top speed of an aircraft if its weight is 100 tons? Show your work. (6 points)

step-by-step explanation:

always plug in x. in this case, x equals 4.

i'm going to first solve 4(2+3x)

1) 4(2+3(4)) use pemdas to solve.

i'm going to multiply whats in the parenthesis first, so 3 times 4=12.

2)4 (2+12) i'm then going to multiply 4 by both numbers in the parenthesis (because multiplying comes before adding)

4 times 2= 8.   4 times 12= 48

4) (8+48)= 56 (answer)

i'm then going to solve 8+12x and plug in 4 for x.

1) 8 +12(4)

multiplying comes before adding, so i'm gonna multiply 12 and 4.

12 times 4= 48.

2) 8+48=56

both equal the same!

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answer: d.) the total number of protons and neutrons is 15

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13cm

step-by-step explanation:

(apex)

the diver is 33 feet below the surface.

step-by-step explanation:

hope this