The systolic blood pressure of individuals is thought to be related to both age and weight. Let the systolic blood pressure, age, and weight be represented by the variables x1, x2, and x3, respectively. Suppose that Minitab was used to generate the following descriptive statistics, correlations, and regression analysis for a random sample of 15 individuals. Descriptive Statistics Variable N Mean Median TrMean StDev SE Mean 15 154.35 154.65 3.450 0.890786 0.326880 154.35 15 68.43 69.33 168.43 1.266 3 15 186.00 185.60 186.00 4.952 1.278601 Variable Minimum Маximum Q1 lo3 |143.478 47.361 141.511 167.513 77.400 126 175 45 89 122 243 222.372 Correlations (Pearson) x2 2 0.848 0.836 0.671 Regression Analysis The regression equation is x1 = 0.833 + 1.388x2 + 0.937x3 Predictor Coef StDev T 1.20 2.09 0.126 0.029 Constant 0.833 l0.693 x2 1.388 0.665 0.937 0.513 1.83 |0.046 S = 0.320 R-sq = 91.7 % R-sq(adj) = 93.7 % Relative to its mean, which variable has the greatest spread of data values? O x2 O x1 O x3

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Chapter4: Equations Of Linear Functions
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The systolic blood pressure of individuals is thought to be related to both age and weight. Let the systolic blood pressure, age, and weight be represented by the variables x1x2, and x3, respectively. Suppose that Minitab was used to generate the following descriptive statistics, correlations, and regression analysis for a random sample of 15 individuals.

Relative to its mean, which variable has the greatest spread of data values?

The systolic blood pressure of individuals is thought to be related to both age and weight. Let the systolic
blood pressure, age, and weight be represented by the variables x1, x2, and x3, respectively. Suppose that
Minitab was used to generate the following descriptive statistics, correlations, and regression analysis for a
random sample of 15 individuals.
Descriptive Statistics
Variable
IN
Mean
Median
TrMean
StDev
SE Mean
15
154.35 l154.65
154.35
3.450
0.890786
15
68.43
69.33
68.43
1.266
0.326880
15
186.00 l185.60
186.00
4.952
1.278601
Variable
Minimum
Maximum
Q3
143.478
Q1
126
175
167.513
45
89
47.361
77.400
122
243
141.511
222.372
Correlations
x2
10.848
0.836
0.671
Regression Analysis
The regression equation is
x1 = 0.833 + 1.388x2 + 0.937x3
Predictor
StDev
T
Сoef
l0.833
Constant
0.693
1.20
0.126
0.029
l0.046
1.388
0.665
2.09
l0.937
0.513
1.83
Is = 0.320
R-sq = 91.7 %
R-sq(adj) = 93.7 %
Relative to its mean, which variable has the greatest spread of data values?
O x2
O x1
O x3
Transcribed Image Text:The systolic blood pressure of individuals is thought to be related to both age and weight. Let the systolic blood pressure, age, and weight be represented by the variables x1, x2, and x3, respectively. Suppose that Minitab was used to generate the following descriptive statistics, correlations, and regression analysis for a random sample of 15 individuals. Descriptive Statistics Variable IN Mean Median TrMean StDev SE Mean 15 154.35 l154.65 154.35 3.450 0.890786 15 68.43 69.33 68.43 1.266 0.326880 15 186.00 l185.60 186.00 4.952 1.278601 Variable Minimum Maximum Q3 143.478 Q1 126 175 167.513 45 89 47.361 77.400 122 243 141.511 222.372 Correlations x2 10.848 0.836 0.671 Regression Analysis The regression equation is x1 = 0.833 + 1.388x2 + 0.937x3 Predictor StDev T Сoef l0.833 Constant 0.693 1.20 0.126 0.029 l0.046 1.388 0.665 2.09 l0.937 0.513 1.83 Is = 0.320 R-sq = 91.7 % R-sq(adj) = 93.7 % Relative to its mean, which variable has the greatest spread of data values? O x2 O x1 O x3
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