Question

A regression between foot length (response variable in cm) and height (explanatory variable in inches) for...

A regression between foot length (response variable in cm) and height (explanatory variable in inches) for 31 students resulted in the following regression equation: y = 22 + 0.18 x. One student in the sample was 73 inches tall with a foot length of 29 cm. What is the predicted foot length for this student?

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
a regression analysis between weight (y in pounds) and height (x in inches) resulted in the...
a regression analysis between weight (y in pounds) and height (x in inches) resulted in the following least squares line: Y=140+5x. this implies if the height is increased by 1 inch, the weight is expected to increase on average by 5 pounds true or false
A model with explanatory variable x and response variable y takes the form: y-hat = a1...
A model with explanatory variable x and response variable y takes the form: y-hat = a1 + a2x where y-hat is the predicted value of the value of y when the explanatory variable takes the value x 1. To fit the model by the criteria of the root-mean-squared-deviation, we seek values of a1 and a2 to make what as small as possible? a. the sum of differences between predicted values y-hat and observed values y. b. the sum of absolute...
In a survey, a statistician analyzed the relationship between the Mothers-Heights (explanatory variable x) and the...
In a survey, a statistician analyzed the relationship between the Mothers-Heights (explanatory variable x) and the Daughters-Heights (response y) by using the regression method. When he drew the regression line, he found that at x1 = 0 the predicted response is ˆy1 = 29.9, and at x2 = 1 the predicted response is ˆy2 = 30.43. Answer the following questions providing all the details. 1. Find the intercept a and slope b of the regression line of Daughters-Heights on Mothers-Heights....
(Free Response Question) The mean height of American women in their twenties is about 64.3 inches,...
(Free Response Question) The mean height of American women in their twenties is about 64.3 inches, and the standard deviation is about 2.7 inches. The mean height of men the same age is about 69.9 inches, with standard deviation about 3.1 inches. Suppose that the correlation between the heights of husbands and wives is about r = 0.5. (A) What are the slope and intercept of the regression line of the husband’s height on the wife’s height in young couples?...
1.)Use the given data to find the best predicted value of the response variable. The regression...
1.)Use the given data to find the best predicted value of the response variable. The regression equation is . What is the best predicted value of y for ? 2.)Use the given data to find the best predicted value of the response variable. The regression equation is  What is the best predicted value of y for ? Group of answer choices 4.22 27 93.5 18.3 3.) Use the given data to find the best predicted value of the response variable. The...
Run a regression analysis on the following bivariate set of data with y as the response...
Run a regression analysis on the following bivariate set of data with y as the response variable. x y 74.1 53.3 81.3 65.5 64.4 79 102.4 35.8 73 59.4 45.4 110.1 66.4 84.9 73.8 70 52 97.5 70.2 86.9 91.1 43.3 Predict what value (on average) for the response variable will be obtained from a value of 62.2 as the explanatory variable. Use a significance level of α=0.05α=0.05 to assess the strength of the linear correlation. What is the predicted...
To estimate the mean height μμ of male students on your campus, you will measure an...
To estimate the mean height μμ of male students on your campus, you will measure an SRS of students. Heights of people of the same sex and similar ages are close to Normal. You know from government data that the standard deviation of the heights of young men is about 2.8 inches. Suppose that (unknown to you) the mean height of all male students is 70 inches. (a) If you choose one student at random, what is the probability that...
(1 point) To estimate the mean height μ of male students on your campus, you will...
(1 point) To estimate the mean height μ of male students on your campus, you will measure an SRS of students. Heights of people of the same sex and similar ages are close to Normal. You know from government data that the standard deviation of the heights of young men is about 2.8 inches. Suppose that (unknown to you) the mean height of all male students is 70 inches. (a) If you choose one student at random, what is the...
A sample of 5 observations collected in a regression study on two variables, x(independent variable) and...
A sample of 5 observations collected in a regression study on two variables, x(independent variable) and y(dependent variable). The sample resulted in the following data. summation (x_i-xbar)2=15, summation (x_i-xbar)(y_i-ybar)=60,    xbar=3, ybar=10 Calculate the y-intercept (b_0) of the estimated regression equation. A sample of 11 observations collected in a regression study on two variables, x(independent variable) and y(dependent variable). The sample resulted in the following data. summation (x_i-xbar)2=22, summation (x_i-xbar)(y_i-ybar)=64,    xbar=3, ybar=10 Calculate the slope of the estimated regression equation. A sample of...
Run a regression analysis on the following bivariate set of data with y as the response...
Run a regression analysis on the following bivariate set of data with y as the response variable. x y 16.1 47.3 10.6 42.8 22.4 50.6 33.3 67.6 47.8 61.1 41.4 62.1 30.2 57.9 30.6 53.6 33 57.4 9.7 41.2 19.3 49.6 Verify that the correlation is significant at an α=0.05. If the correlation is indeed significant, predict what value (on average) for the explanatory variable will give you a value of 54 on the response variable. What is the predicted...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT