Linear model: predicted age = 0.1 * weight + 15 r = 0.7 How much variation...
Linear model: predicted age = 0.1 * weight + 15 r = 0.7 How much variation is accounted for by the model?
Homework Answers
The coefficient of determination i.e. r2 compute the proportion of the variation that explained by the regression model.
r2=(0.72) =0.49
Therefore 49% variation is accounted by the model.
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Linear model: predicted age = 0.1 * weight + 15 r = 0.7 How much
variation...
For a linear regression model with a R2 of 0.75, how much variation of the data...
For a linear regression model with a R2 of 0.75, how much variation of the data is explained by this model? O 25% 35% ○ 75% cannot be decided
If my r squared value is 95.5%, then how much of the variation is not explained by the model? It seems too simple for th...
If my r squared value is 95.5%, then how much of the variation is not explained by the model? It seems too simple for the answer to be 4.5%. Please help!
Birth weight and gestational age. The Child Health and Development Studies considered pregnancies among women in...
Birth weight and gestational age. The Child Health and Development Studies considered pregnancies among women in the San Francisco East Bay area. Researchers took a random sample of 50 pregnancies and used statistical software to construct a linear regression model to predict a baby's birth weight in ounces using the gestation age (the number of days the mother was pregnant). A portion of the computer output and the scatter plot is shown below. Round all calculated results to four decimal...
please answer question 7 (confidence interval). (14 points) Birth weight and gestational age. The Child Health...
please answer question 7 (confidence interval).
(14 points) Birth weight and gestational age. The Child Health and Development Studies considered pregnancies among women in the San Francisco East Bay area. Researchers took a random sample of 50 pregnancies and used statistical software to construct a linear regression model to predict a baby's birth weight in ounces using the gestation age (the number of days the mother was pregnant). A portion of the computer output and the scatter plot is shown...
3) Listed below are prices of a certain model automobile and the age of the automobile...
3) Listed below are prices of a certain model automobile and the age of the automobile in years. 1 1 Age Price 3 4 2 2 3 4 15,500 14,995 30,795 28,995 23,995 20,900 20,500 3 4 19,995 19,888 29,995 A scatterplot of the table data shows an approximately linear relationship between age and price. The linear correlation coefficient is r = -0.8632, and the regression equation is û = 34,052 – 4257.8x. (a) At the 0.05 significance level, is...
Linear regression analysis of the data revealed the following: Model Summary Model R R Square Adjusted...
Linear regression analysis of the data revealed the following: Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .695a .483 .478 13.02473 a. Predictors: (Constant), exercise, gender, subject's age, depressed state of mind ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 65230.870 4 16307.718 96.129 .000b Residual 69893.149 412 169.644 Total 135124.019 416 a. Dependent Variable: Life Purpose and Satisfaction b. Predictors: (Constant), exercise, gender, subject's age, depressed state of...
The authors of the paper "Weight-Bearing Activity during Youth Is a More Important Factor for Peak...
The authors of the paper "Weight-Bearing Activity during Youth Is a More Important Factor for Peak Bone Mass than Calcium Intake" studied a number of variables they thought might be related to bone mineral density (BMD). The accompanying data on x = weight at age 13 and y = bone mineral density at age 27 are consistent with summary quantities for women given in the paper. Weight (kg) BMD (g/cm2) 54.4 1.15 59.3 1.26 74.6 1.42 62.0 1.06 73.7 1.44...
how much data variation is explained Variables Entered/Removed Variables Entered Variables Removed Model Method x2,x...
how much data variation is explained
Variables Entered/Removed Variables Entered Variables Removed Model Method x2,x1 Enter a Dependent Variable y b.All requested variables entered Model Summary Adjusted R Square Std Eror of the Estimate R Square Model 690 476 440 15.3096 a Predictors (Constant, 12, x ANOVA
Variables Entered/Removed Variables Entered Variables Removed Model Method x2,x1 Enter a Dependent Variable y b.All requested variables entered Model Summary Adjusted R Square Std Eror of the Estimate R Square Model 690 476...
Table 1: How to interpret logged models, table adapted from Bailey's textbook model equation Log-linear In...
Table 1: How to interpret logged models, table adapted from Bailey's textbook model equation Log-linear In Y; = Bo + BiX; + ei Linear-log Y; = Bo + B, In Xi + ei interpretation A one-unit increase in X is associated with a B1 percent change in Y (on a 0-1 scale). A one percent increase in X is associated with a B1/100 change in Y. A one-percent increase in X is associated with a B1 percent change in Y...
How much should a healthy Shetland pony weigh? Let x be the age of the pony...
How much should a healthy Shetland pony weigh? Let x be
the age of the pony (in months), and let y be the average
weight of the pony (in kilograms).
x
3
6
12
15
26
y
60
95
140
150
177
x=62
x2=1090
y=622 y2=86,054
xy=9,282
a) Compute r. (Round your answer to three decimal
places.)
For a linear regression model with a R2 of 0.75, how much variation of the data is explained by this model? O 25% 35% ○ 75% cannot be decided
please answer question 7 (confidence interval).
(14 points) Birth weight and gestational age. The Child Health and Development Studies considered pregnancies among women in the San Francisco East Bay area. Researchers took a random sample of 50 pregnancies and used statistical software to construct a linear regression model to predict a baby's birth weight in ounces using the gestation age (the number of days the mother was pregnant). A portion of the computer output and the scatter plot is shown...
3) Listed below are prices of a certain model automobile and the age of the automobile in years. 1 1 Age Price 3 4 2 2 3 4 15,500 14,995 30,795 28,995 23,995 20,900 20,500 3 4 19,995 19,888 29,995 A scatterplot of the table data shows an approximately linear relationship between age and price. The linear correlation coefficient is r = -0.8632, and the regression equation is û = 34,052 – 4257.8x. (a) At the 0.05 significance level, is...
how much data variation is explained
Variables Entered/Removed Variables Entered Variables Removed Model Method x2,x1 Enter a Dependent Variable y b.All requested variables entered Model Summary Adjusted R Square Std Eror of the Estimate R Square Model 690 476 440 15.3096 a Predictors (Constant, 12, x ANOVA
Variables Entered/Removed Variables Entered Variables Removed Model Method x2,x1 Enter a Dependent Variable y b.All requested variables entered Model Summary Adjusted R Square Std Eror of the Estimate R Square Model 690 476...
Table 1: How to interpret logged models, table adapted from Bailey's textbook model equation Log-linear In Y; = Bo + BiX; + ei Linear-log Y; = Bo + B, In Xi + ei interpretation A one-unit increase in X is associated with a B1 percent change in Y (on a 0-1 scale). A one percent increase in X is associated with a B1/100 change in Y. A one-percent increase in X is associated with a B1 percent change in Y...
How much should a healthy Shetland pony weigh? Let x be
the age of the pony (in months), and let y be the average
weight of the pony (in kilograms).
x
3
6
12
15
26
y
60
95
140
150
177
x=62
x2=1090
y=622 y2=86,054
xy=9,282
a) Compute r. (Round your answer to three decimal
places.)
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