Question

In: Statistics and Probability

Table 1:  Weight Suspended in kg Luke Rey Anikin Week 1 0 10 35 Week 2 10...

Table 1:  Weight Suspended in kg
Luke Rey Anikin
Week 1 0 10 35
Week 2 10 10 41
Week 3 15 20 45
Week 4 20 20 48
Week 5 25 40 50
Week 6 30 40 53
Week 7 35 80 55
Week 8 40 80 61
Week 9 45 160 70
Week 10 50 160 74
Week 11 55 320 77
Week 12 60 320 80
Table 2: Number of items Suspended
Rocks Kittens Daggers Wookies
Luke 25 15 30 3
Rey 30 5 45 2
Anikin 25 25 40 5
Q2.   Perform a simple linear regression on all three kid's progress.  Hint: time is the x variable
and weight of stone suspended is the y variable.
Perform a simple linear regression on all three kid's progress.  Show your work in the analysis tab,
putting the output in the designated spaces.
What is the regression equation for Luke?  For Rey?  For Anikin?  Put your results in the indicated space.
What is the r2 for each kid?  According to the p-value, which of the regression lines is statistically
significant at an alpha of 0.05?

please make sure to do the p values. this is what I need to fill in:

Qyestion 2: Luke Rey Anikin
Regression equation note: two significant digits is fine
r2 note: two significant digits is fine
p-value note: 4 significant digits is fine
Significant - Y/N?
Anikin regression output here
Luke regression output here.
Rey regression output here.

Solutions

Expert Solution

Given Data:

week

Luke

Rey

Anikin

1

0

10

35

2

10

10

41

3

15

20

45

4

20

20

48

5

25

40

50

6

30

40

53

7

35

80

55

8

40

80

61

9

45

160

70

10

50

160

74

11

55

320

77

12

60

320

80

The dependent variable for regression analysis here is the weight suspended by each kid i.e. y is the weight suspended and x is the week.

Regression output for Luke:

Coefficients

Standard Error

t Stat

P-value

Intercept

-1.67

0.82

-2.04

0.068692

Week

5.19

0.11

46.77

4.82E-13

ANOVA

df

SS

MS

F

Significance F

Regression

1

3855.288

3855.288

2187

4.82E-13

Residual

10

17.62821

1.762821

Total

11

3872.917

R Square

0.995448

Adjusted R Square

0.994993

Regression output for Rey:

Coefficients

Standard Error

t Stat

P-value

Intercept

-77.73

32.39

-2.40

0.037315

week

28.11

4.40

6.39

7.95E-05

ANOVA

df

SS

MS

F

Significance F

Regression

1

113009.8

113009.8

40.81

7.95E-05

Residual

10

27690.21

2769.021

Total

11

140700

R Square

0.803197

Adjusted R Square

0.783516

Regression output for Anikin:

Coefficients

Standard Error

t Stat

P-value

Intercept

30.89

1.43

21.60

1.01E-09

week

4.08

0.19

21.00

1.33E-09

ANOVA

df

SS

MS

F

Significance F

Regression

1

2380.925

2380.925

440.98

1.33E-09

Residual

10

53.99184

5.399184

Total

11

2434.917

R Square

0.977826

Adjusted R Square

0.975609

Luke

Rey

Anikin

Regression equation

r2

0.99

0.80

0.98

p-value

0.0000

0.0001

0.0000

Significant - Y/N?

Y

Y

Y

There is no question for Table-2


Related Solutions

Table 1: Weight Suspended in kg Luke Rey Anikin week 1 0 10 35 week 2...
Table 1: Weight Suspended in kg Luke Rey Anikin week 1 0 10 35 week 2 10 10 41 week 3 15 20 45 week 4 20 20 48 week 5 25 40 50 week 6 30 40 53 week 7 35 80 55 week 8 40 80 61 week 9 45 160 70 week 10 50 160 74 week 11 55 320 77 week 12 60 320 80 In an alternate reality, a temporal anomoly transports Luke Skywalker, Rey...
Table 2: Number of items Suspended Rocks Kittens Daggers Wookies Luke 25 15 30 3 Rey...
Table 2: Number of items Suspended Rocks Kittens Daggers Wookies Luke 25 15 30 3 Rey 30 5 45 2 Anikin 25 25 40 5 Examine the data in Table 2.  It shows the number of different types of objects that each Jedi trainee can suspend in the air after 12 weeks of training.   Do an ANOVA analysis - Randomized Block Design at alpha = 0.05. Put the output in the indicated area. Is there a difference in the 3 kids...
A weight is attached to a spring suspended from a beam. At time t = 0,...
A weight is attached to a spring suspended from a beam. At time t = 0, it is pulled down to a point 7 cm above the ground and released. After that, it bounces up and down between its minimum height of 7 cm and a maximum height of 25 cm, and its height h(t) is a sinusoidal function of time t. It first reaches a maximum height 1.4 seconds after starting. (b) What are the mean, amplitude, phase shift...
Suspended Mass (kg) Weight of Suspended Mass (mass x 9.8 m/s2), Newtons Time (sec) Average Time...
Suspended Mass (kg) Weight of Suspended Mass (mass x 9.8 m/s2), Newtons Time (sec) Average Time Average Time2 d (m) 2d (m) Acceleration = 2d/t2 3 Washers 0.0143 0.14N Trial 1: 1.76 1.84 s 0.34 m/s2 0.6m 1.2m 0.35 m/s2 Trial 2: 1.86 Trial 3: 1.90 4 Washers 0.0191 0.19N Trial 1: 1.50 1.1 s 1.21 s2 0.6m 1.2m 0.99 m/s2 Trial 2: 1.50 Trial 3: 1.45 5 Washers 0.025 0.25N Trial 1: 1.23 1.23 s 1.51 s2 0.6m 1.2m...
Probability Future Return - X Future Return - Y .1 -10% -35% .2 2% 0% .4...
Probability Future Return - X Future Return - Y .1 -10% -35% .2 2% 0% .4 12% 20% .2 20% 25% .1 38% 45% A. Given RX = 12%, find RY B. Given σy = 20.35%, find σX Calculate CVX and CVY Compare their σ and CV to decide which one is more risky per dollar of return
A= 1 0 -7 7 0 1 0 0 2 -2 10 -7 2 -2 2...
A= 1 0 -7 7 0 1 0 0 2 -2 10 -7 2 -2 2 1 Diagonalize the matrix above. That is, find matrix D and a nonsingular matrix P such that A = PDP-1 . Use the representation to find the entries of An as a function of n.
Table 3: Cars Sold per Day # Per Day # Days 0 35 1 75 2...
Table 3: Cars Sold per Day # Per Day # Days 0 35 1 75 2 55 3 25 4 10 For example, 35 of the days, no cars were sold. For 75 days one was sold. How many days were used in this study? Based on this study, what was the expected number of cars sold per day? What is the probability of selling 5 cars in a day? What was the variance in the expected number of cars...
In a sample of 35 koalas, the sample mean weight was 9.41 kg, with a standard...
In a sample of 35 koalas, the sample mean weight was 9.41 kg, with a standard deviation of 1.38 kg. a. What must be assumed before a t confidence interval to estimate the population mean? b. Find and interpret a 99% confidence interval using the koala data. You will have to use your calculator’s “TInterval” on the “stats” setting because JMP requires the individual weights, which are not available. c. If a future study aims to estimate the mean koala...
0 mod 35 = 〈0 mod 5, 0 mod 7〉 12 mod 35 = 〈2 mod...
0 mod 35 = 〈0 mod 5, 0 mod 7〉 12 mod 35 = 〈2 mod 5, 5 mod 7〉 24 mod 35 = 〈4 mod 5, 3 mod 7〉 1 mod 35 = 〈1 mod 5, 1 mod 7〉 13 mod 35 = 〈3 mod 5, 6 mod 7〉 25 mod 35 = 〈0 mod 5, 4 mod 7〉 2 mod 35 = 〈2 mod 5, 2 mod 7〉 14 mod 35 = 〈4 mod 5, 0 mod 7〉...
2. A 6-lb weight is attached to a vertically suspended spring that it stretches 4 in....
2. A 6-lb weight is attached to a vertically suspended spring that it stretches 4 in. and to adashpot that provides 1.5 lb of resistance for every foot per second of velocity.(a) If the weight is pulled down 1 ft below its static equilibrium position and then released from rest at time t = 0, find its position function .(b) Find the frequency, time-varying amplitude, and phase angle of the motion.(Give exact answers for both parts.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT