x y
25 95
26 95
36 102
36 109
40 110
48 114
Homework Answers
The statistical software output for this problem is:
Simple linear regression results:
Dependent Variable: y
Independent Variable: x
y = 73.012826 + 0.8858912 x
Sample size: 6
R (correlation coefficient) = 0.95124387
R-sq = 0.9048649
Estimate of error standard deviation: 2.7880693
Parameter estimates:
| Parameter | Estimate | Std. Err. | Alternative | DF | T-Stat | P-value |
|---|---|---|---|---|---|---|
| Intercept | 73.012826 | 5.1774635 | ? 0 | 4 | 14.102045 | 0.0001 |
| Slope | 0.8858912 | 0.14362462 | ? 0 | 4 | 6.168101 | 0.0035 |
Analysis of variance table for regression
model:
| Source | DF | SS | MS | F-stat | P-value |
|---|---|---|---|---|---|
| Model | 1 | 295.74001 | 295.74001 | 38.04547 | 0.0035 |
| Error | 4 | 31.093322 | 7.7733304 | ||
| Total | 5 | 326.83333 |
Predicted values:
| X value | Pred. Y | s.e.(Pred. y) | 95% C.I. for mean | 95% P.I. for new |
|---|---|---|---|---|
| 37 | 105.7908 | 1.1682843 | (102.54712, 109.03448) | (97.39775, 114.18385) |
Hence,
95% prediction interval will be:
97.4 < y < 114.2
Option B is correct.
POT) The regression equation for the given paired data is y-hat = 73.012 +0.8859x and the...
POT) The regression equation for the given paired data is y-hat = 73.012 +0.8859x and the standard error of estimate is se= 2.78807. Find the 95% prediction interval of y for x = 37. * 25 26 36 36 40 48 y 95 95 102 109 110 114 a) 73.0 < y < 114.2 Ob) 73.0 < y < 105.8 Oc) 97.4 < y < 10.8 od) 97.4 < y < 114.2 Question 4 (1 point) Saved ов Ана со...
Boats (tens of thousands) Manatees x y 65 53 71 36 67 35 69 48 74...
Boats (tens of thousands) Manatees
x y
65 53
71 36
67 35
69 48
74 44
74 58
75 55
82 65
84 81
81 80
89 80
89 94
97 72
93 67
99 77
98 92
97 71
100 92
92 97
93 81
88 90
87 82
92 71
92 66
Use the accompanying paired data conslisting of registered boats (tens of thousands) and manatee fatalities from boat enccunters. Let x represent the number of registered...
36 196 36 676 576 1520 3.6 110 120 0.6 60.36 5.76 12.96 2.56 11.56 33.2 7 100 2.4 21.6 41.6 81.6 182 13 1203.6 11 140 .6 26 24 6 90 -3.4 47 570 0 Sum Average 9.4 114 1. What is the slope for the...
36 196 36 676 576 1520 3.6 110 120 0.6 60.36 5.76 12.96 2.56 11.56 33.2 7 100 2.4 21.6 41.6 81.6 182 13 1203.6 11 140 .6 26 24 6 90 -3.4 47 570 0 Sum Average 9.4 114 1. What is the slope for the linear regression equation? 2. What are the assumptions about the error term e in the regression model? P-value t Stat CoefficientsError 8.266666667 0.969014912 8.53100047 2.74E-05 1.060606061 0.156170894 Intercept X Variable 1 3. Manually...
628 CHAPTER 26 Inference fer Regression CHECK YOUR SKILLS Florida appaises neal estate avery yoar...
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the way this is worded confuses me. Will there be one problem where male weight is x and female bmi is y. or is it two problems where x&y is male weight and bmi for the 1st problem, and x&y i...
the way this is worded confuses me. Will there be one problem
where male weight is x and female bmi is y. or is it two problems
where x&y is male weight and bmi for the 1st problem, and
x&y is female weight and bmi for problem 2?
2. Using the data set of the Health Exam Results, conduct the following of weight (WT) and Index (BMI). Number the data set from 1 to 40, and select the following individuals:...
game thory ,hst the cofficien of ltemination cqual? A) 0.1945 B) 0.4225 C) 0.5778 D) 0.8061...
game thory
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The data from data349.dat contains information on 78 seventh-grade students. We want to know how well each of IQ score a...
The data from data349.dat contains information on 78 seventh-grade students. We want to know how well each of IQ score and self-concept score predicts GPA using least-squares regression. We also want to know which of these explanatory variables predicts GPA better. Give numerical measures that answer these questions. (Round your answers to three decimal places.) (Regressor: IQ) R 2 (Regressor: Self-Concept) R 2 Which variable is the better predictor? IQ Self Concept obs gpa iq gender concept 1 7.94 112 ...
The data from data95.dat contains information on 78 seventh-grade students. We want to know how well each of IQ score and self-concept score predicts GPA using least-squares regression. We also want t...
The data from data95.dat contains information on 78 seventh-grade students. We want to know how well each of IQ score and self-concept score predicts GPA using least-squares regression. We also want to know which of these explanatory variables predicts GPA better. Give numerical measures that answer these questions. (Round your answers to three decimal places.) (Regressor: IQ) R 2 : (Regressor: Self-Concept) R 2 : Which variable is the better predictor? IQSelf Concept obs gpa iq gender concept 1 7.94...
6. Suppose r0-0x8000, and the memory layout is as follows: Address Data 0x8007 0x8006 0x8005 0x8004...
6. Suppose r0-0x8000, and the memory layout is as follows: Address Data 0x8007 0x8006 0x8005 0x8004 0x8003 0x8002 0x8001 0x8000 0x79 0xCD 0xA3 0xFD 0xOD 0xEB 0x2C 0x1A Suppose the system is set as little endian. What are the values of rl and r0 if the instructions are executed separately? (a) LDR (b) LDR (c) LDR (d) LDR rl, r1, r1, r1, [re] [r0, #41 [r0], #4 [r0, #41 ! r1 - r1 - r0 - Appendix 1: ASCII Table...
POT) The regression equation for the given paired data is y-hat = 73.012 +0.8859x and the standard error of estimate is se= 2.78807. Find the 95% prediction interval of y for x = 37. * 25 26 36 36 40 48 y 95 95 102 109 110 114 a) 73.0 < y < 114.2 Ob) 73.0 < y < 105.8 Oc) 97.4 < y < 10.8 od) 97.4 < y < 114.2 Question 4 (1 point) Saved ов Ана со...
Boats (tens of thousands) Manatees
x y
65 53
71 36
67 35
69 48
74 44
74 58
75 55
82 65
84 81
81 80
89 80
89 94
97 72
93 67
99 77
98 92
97 71
100 92
92 97
93 81
88 90
87 82
92 71
92 66
Use the accompanying paired data conslisting of registered boats (tens of thousands) and manatee fatalities from boat enccunters. Let x represent the number of registered...
36 196 36 676 576 1520 3.6 110 120 0.6 60.36 5.76 12.96 2.56 11.56 33.2 7 100 2.4 21.6 41.6 81.6 182 13 1203.6 11 140 .6 26 24 6 90 -3.4 47 570 0 Sum Average 9.4 114 1. What is the slope for the linear regression equation? 2. What are the assumptions about the error term e in the regression model? P-value t Stat CoefficientsError 8.266666667 0.969014912 8.53100047 2.74E-05 1.060606061 0.156170894 Intercept X Variable 1 3. Manually...
628 CHAPTER 26 Inference fer Regression CHECK YOUR SKILLS Florida appaises neal estate avery yoar, so the county apmaiser's wehsite ally sells for someuhat mone chan the appmaised market seHeve ae the appesised market and acual seling pces i thsads of dollars) of 52 condominism units sold in a beachfiont haldling in a 164month perioad herueen 2003 and 2016 Seling Appraised Selling Appraised Selling Appraised Value 1190 1100 1865 1450 875 1510 1375 560 481 822 590 1075 890 64...
the way this is worded confuses me. Will there be one problem
where male weight is x and female bmi is y. or is it two problems
where x&y is male weight and bmi for the 1st problem, and
x&y is female weight and bmi for problem 2?
2. Using the data set of the Health Exam Results, conduct the following of weight (WT) and Index (BMI). Number the data set from 1 to 40, and select the following individuals:...
game thory
,hst the cofficien of ltemination cqual? A) 0.1945 B) 0.4225 C) 0.5778 D) 0.8061 45. The hypothesis to test the slope of a regression equation is Ho: a 0 TRUE FALSE 46. The least squares technique minimizes the sum of the squares of the vertical distances between the actual Y values and the predicted values of Y TRUE FALSE 47. The regression equation is used to estimate a value of the dependent variable Y based ona selected value...
6. Suppose r0-0x8000, and the memory layout is as follows: Address Data 0x8007 0x8006 0x8005 0x8004 0x8003 0x8002 0x8001 0x8000 0x79 0xCD 0xA3 0xFD 0xOD 0xEB 0x2C 0x1A Suppose the system is set as little endian. What are the values of rl and r0 if the instructions are executed separately? (a) LDR (b) LDR (c) LDR (d) LDR rl, r1, r1, r1, [re] [r0, #41 [r0], #4 [r0, #41 ! r1 - r1 - r0 - Appendix 1: ASCII Table...
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