Question

The following multiple regression printout can be used to predict a person's height (in inches) given...

The following multiple regression printout can be used to predict a person's height (in inches) given his or her shoe size and gender, where gender = 1 for males and 0 for females.

Regression Analysis: Height Versus Shoe Size, Gender
Coefficients
Term Coef SE Coef T-Value P-Value
Constant 55.22 1.06 52.09 0.000
Shoe Size 1.163 0.18 0.000
Gender 2.572 0.489 5.26 0.000

(a)

Find the value of the test statistic for shoe size. (Round your answer to two decimal places.)

t = __________

(b)

Is the regression coefficient of shoe size statistically significant? (Use α = 0.05.)

The regression coefficient of shoe size is statistically significant.

(c)

Does the variable shoe size belong in the model?

The variable shoe size may belong in the model.

(d)

Interpret the regression coefficient of Gender.

Males are _______ inches taller than females, on average, controlling for shoe size.

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
The following multiple regression printout can be used to predict a person's height (in inches) given...
The following multiple regression printout can be used to predict a person's height (in inches) given his or her shoe size and gender, where gender = 1 for males and 0 for females. Regression Analysis: Height Versus Shoe Size, Gender Coefficients Term Coef SE Coef T-Value P-Value Constant 55.22 1.03 53.61 0.000 Shoe Size 1.167 0.18 0.000 Gender 2.577 0.484 5.32 0.000 (a) Find the value of the test statistic for shoe size. (Round your answer to two decimal places.)...
An investigator developed a multiple regression model for employee salaries at a particular company. In this...
An investigator developed a multiple regression model for employee salaries at a particular company. In this multiple regression model, the salaries are in thousands of dollars. For example, a data entry of 35 for the dependent variable indicates a salary of $35,000. The indicator variable for gender is coded as if male and if female. The computer output of this multiple regression model shows that the coefficient for this variable is -4.2. The t test showed that was significant at...
2.) Suppose we use a person's dad's height to predict how short or tall the person...
2.) Suppose we use a person's dad's height to predict how short or tall the person will be by building a regression model to investigate if a relationship exists between the two variables. Suppose the regression results are as follows: Least Squares Linear Regression of Height Predictor Variables Coefficient Std Error    T P Constant 20.2833 8.70520 2.33 0.0223 DadsHt 0.67499    0.12495 5.40 0.0002 R² 0.2673 Mean Square Error (MSE) 23.9235 Adjusted R² 0.2581    Standard Deviation    4.9000...
Study the following Minitab output from a regression analysis to predict y from x. a. What...
Study the following Minitab output from a regression analysis to predict y from x. a. What is the equation of the regression model? b. What is the meaning of the coefficient of x? c. What is the result of the test of the slope of the regression model? Let α = .10.Why is the t ratio negative? d. Comment on r2 and the standard error of the estimate. e. Comment on the relationship of the F value to the t...
Body frame size is determined by a person's wrist circumference in relation to height. A researcher...
Body frame size is determined by a person's wrist circumference in relation to height. A researcher measures the wrist circumference and height of a random sample of individuals. The data is displayed below. 55.566.577.588.595560657075808590Wrist Circumference (in)Height (in)      Coefficients: Estimate Std Err t-value p-value (Intercept) 29.7403 5.1272 5.8004 1.74 E -6 wrist 6.0758 0.7135 8.5154 7.70 E -10      Residual standard error: 4.101 on 33 degrees of freedom      R-squared: 0.6872, Adjusted R-squared: 0.6778      F-statistic: 72.512 on 1 and 33 DF, p-value: 7.70...
The following is a partial computer output of a multiple regression analysis of a data set...
The following is a partial computer output of a multiple regression analysis of a data set containing 20 sets of observations on the dependent variable The regression equation is SALEPRIC = 1470 + 0.814 LANDVAL = 0.820 IMPROVAL + 13.5 AREA Predictor Coef SE Coef T P Constant 1470 5746 0.26 0.801 LANDVAL 0.8145 0.5122 1.59 0.131 IMPROVAL 0.8204 0.2112 3.88 0.0001 AREA 13.529 6.586 2.05 0.057 S = 79190.48 R-Sq = 89.7% R-Sq(adj) = 87.8% Analysis of Variance Source...
Body frame size is determined by a person's wrist circumference in relation to height. A researcher...
Body frame size is determined by a person's wrist circumference in relation to height. A researcher measures the wrist circumference and height of a random sample of individuals. The data is displayed below. 5 5.5 6 6.5 7 7.5 8 8.5 9 60 65 70 75 80 Wrist Circumference (in) Height (in) Coefficients: Estimate Std Err t-value p-value (Intercept) 33.5375 4.4833 7.4806 4.78 E -8 wrist 5.1405 0.6361 8.0818 1.11 E -8 Residual standard error: 2.9252 on 27 degrees of...
The output below is from a study that used multiple linear regression analysis to link dependent...
The output below is from a study that used multiple linear regression analysis to link dependent variable y to x1 and x2.The sample consisted of 28 observations.    Coeff Std Error t Stat P-value Intercept 85 34.10 2.493 .0196 b1 -1.2 .88 -1.364 .1847 b2 3.5 1.12 3.125 Use the appropriate t tests to determine which, if any, of the individual coefficients are statistically significant at the 5% significance level. Report your conclusion. CHoose from A,B,C, and D below A)...
12.4 Study the following Minitab output from a regression analysis to predict y from x. a....
12.4 Study the following Minitab output from a regression analysis to predict y from x. a. What is the equation of the regression model? b. What is the meaning of the coefficient of x? c. What is the result of the test of the slope of the regression model? Let α = .10.Why is the t ratio negative? d. Comment on r2 and the standard error of the estimate. e. Comment on the relationship of the F value to the...
In order to be able to predict salaries of middle managers of a large bank, 90...
In order to be able to predict salaries of middle managers of a large bank, 90 individuals were randomly selected, and data for the following variables were collected: Salary = the monthly salary, Educ = the number of years of education, Exper = the number of months of experience, Gender = the gender of an individual; 1 for males, and 0 for females. Excel results of a regression analysis are shown below: Regression Statistics Multiple R 0.8186 R2 0.6700 Adjusted...