x y 1 5.92 2 9.44 3 11.36 4 14.08 5 17 6 15.92 7 17.74...
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based on the data shown, calculate the regression line (each value to two decimal places)
y= __________x + _______
Homework Answers
Sum of X = 105
Sum of Y = 285.6
Mean X = 7.5
Mean Y = 20.4
Sum of squares (SSX) = 227.5
Sum of products (SP) = 469.1
Regression Equation = ŷ = bX + a
b = SP/SSX = 469.1/227.5 =
2.06
a = MY - bMX = 20.4 -
(2.06*7.5) = 4.94
ŷ = 2.06X + 4.94
Consider the data: X- 1 Y- 6 3 14 5 7 2 20 9 11 10...
Consider the data: X- 1 Y- 6 3 14 5 7 2 20 9 11 10 18 13 15 26 22 (a) Calculate the correlation between X and Y. 0.7399 (b) What percent of the variation in Y can be attributed to X? (Round to a whole percent) 55 % (c) Obtain the equation of the regression line for these data y = X +
The following sample observations were randomly selected: 1 2 3 4 5 X: 17 4 2...
The following sample observations were randomly selected: 1 2 3 4 5 X: 17 4 2 7 6 Y: 13 25 6 15 15 a. Determine the regression equation. (Negative answer should be indicated by a minus sign. Do not round intermediate calculations. Round the final answers to 4 decimal places.) b = a = Y' = + X b. Determine the value of Y' when X is 13. (Do not round intermediate calculations. Round the final...
2. Use least-squares regression to fit a straight line to r 6 7 11 15 17 21 23 29 29 37 39 29 21 ...
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2. Use least-squares regression to fit a straight line...
x y 5 6 6 9 7 11 8 13 9 14 10 15 11 15...
x y 5 6 6 9 7 11 8 13 9 14 10 15 11 15 12 13 a) Generate a model for y as a function of x b) Is this model useful? Justify your conclusion based on i) R2 adjusted, ii) Hypothesis test for model coefficient, iii) overall model adequacy test and iv) regression assumptions c) If needed, modify model as appropriate and generate the new model. *Complete all parts of the problem please, be as detailed with...
Sample No. 1 2 3 4 5 6 No. Defectives 7 5 20 10 12 7...
Sample No. 1 2 3 4 5 6 No. Defectives 7 5 20 10 12 7 13 10 5 12 Sample No. 11 12 13 14 15 16 17 18 19 20 No. Defectives 6 6 15 4 12 7 12 3 19 16 Sample No. 21 22 23 24 25 26 27 28 29 30 No. Defectives 17 13 5 7 14 9 13 6 13 3 7 8 9 10 a) Establish 3a upper and lower controllimits. UCL...
Year 1. 2 3 4 5 Returns X Y 12 % 25 % 28 34 9...
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Based on the data shown below, calculate the correlation coefficient (to three decimal places) x y...
Based on the data shown below, calculate the correlation coefficient (to three decimal places) x y 5 13.95 6 15.44 7 17.93 8 17.12 9 16.91 10 18.7 11 20.09 12 18.68 13 21.27 14 20.26 15 21.35 16 20.74 17 23.23 18 23.62 19 20.71
educ wage 17 8.19 12 18.42 12 23.38 12 10.24 12 20.47 12 12.90 12 31.03...
educ
wage
17
8.19
12
18.42
12
23.38
12
10.24
12
20.47
12
12.90
12
31.03
17
14.33
14
12.28
10
17.77
16
15.56
12
13.31
16
15.76
11
9.62
12
14.08
13
17.93
11
29.68
12
24.24
11
17.07
16
33.74
14
36.85
12
18.42
16
10.85
18
28.37
9
8.72
13
8.27
12
16.83
14
24.07
12
11.59
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Based on the data shown below, calculate the regression line (each value to two decimal places)...
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Consider the data: X- 1 Y- 6 3 14 5 7 2 20 9 11 10 18 13 15 26 22 (a) Calculate the correlation between X and Y. 0.7399 (b) What percent of the variation in Y can be attributed to X? (Round to a whole percent) 55 % (c) Obtain the equation of the regression line for these data y = X +
2. Use least-squares regression to fit a straight line to r 6 7 11 15 17 21 23 29 29 37 39 29 21 29 14 21 157 13 03 Plot the data and the regression line using Matlab (submit plot). If someone made an additional measurement of 10. y 10, would you suspect, based on a visual assessment and the standard error, that the measurement was valid or faulty? Explain.
2. Use least-squares regression to fit a straight line...
Sample No. 1 2 3 4 5 6 No. Defectives 7 5 20 10 12 7 13 10 5 12 Sample No. 11 12 13 14 15 16 17 18 19 20 No. Defectives 6 6 15 4 12 7 12 3 19 16 Sample No. 21 22 23 24 25 26 27 28 29 30 No. Defectives 17 13 5 7 14 9 13 6 13 3 7 8 9 10 a) Establish 3a upper and lower controllimits. UCL...
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educ
wage
17
8.19
12
18.42
12
23.38
12
10.24
12
20.47
12
12.90
12
31.03
17
14.33
14
12.28
10
17.77
16
15.56
12
13.31
16
15.76
11
9.62
12
14.08
13
17.93
11
29.68
12
24.24
11
17.07
16
33.74
14
36.85
12
18.42
16
10.85
18
28.37
9
8.72
13
8.27
12
16.83
14
24.07
12
11.59
The data set wages educ (click the link to open the Excel file) contains data from a survey on hourly...
Based on the data shown below, calculate the regression line (each value to two decimal places) x y 4 12.16 5 16.75 6 19.04 7 18.43 8 | 22.32 9 23.51 10 24.9 11 | 29.79 12 33.28 1334.67 14 33.76 15 38.65 16 39.54 17 41.63
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