Use only b = 4.467, SE(b) = 2.867, n = 25 to calculateWrite out the estimated regression equationCalculate the t-statistic for the slope coefficient• Calculate the two-sided p-value for the slope coefficient• Perform a hypothesis test for the statistical significant of the slopecoefficient.Calculate the 95 confidence interval for the slope coefficient.When you are done, use the R/Stata output to check your work.Lastly, interpret in words your t-statistic, your p-value, the results ofyour hypothesis test, and your 95% CI.

Answered: Image /qna-images/answer/a57359a6-420a-4665-a67c-4e31e54e6fd9.jpg

Answered: Use only b = 4.467, SE(b) = 2.867, n =…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Find the MSE, the MSR and the F-statistic Based on the F distribution table, can you reject the null hypothesis that the regression is not significant, at a 90% confidence level (α=10%)?
An international organization is investigating the relationship between the life expectancies of men and women in nonindustrialized countries. A random sample of such countries was selected, and life expectancies, in years, were determined for both men and women. A check of the conditions necessary for inference on the slope of a regression line shows that they are met. A 98 percent confidence interval for the slope of the regression line relating life expectancy for men, xx, and women, yy, is given by (1.01,1.34)(1.01,1.34). Based on the interval, which of the following claims is supported? A. Since the interval does not contain 0, it can be concluded that there is no linear relationship between the life expectancies of men and women in nonindustrialized countries. B. Since the interval does not contain 1, it can be concluded that there is no linear relationship between the life expectancies of men and women in nonindustrialized countries. C. Since the values in the interval are…
Provide a 95% confidence interval for the population slope of the regression line. What is the lower bound of the 95% confidence interval?
A researcher is investigating the relationship between the length, in centimeters, and weight, in grams, of pineapples. The researcher will select a random sample of 15 pineapples from grocery stores in a region and construct a 95 percent confidence interval for the slope of the population regression line, where length is the explanatory variable and weight is the response variable. When computing a confidence interval for the slope of the population regression line, which of the following is not a condition that must be checked? The true relationship between length and weight is linear. A The standard deviation for weight does not vary with length. B The values of weight are approximately normally distributed at each value of length. C The sum of the residuals is zero. D The observations are independent. E
Baseball statisticians studied how often triples (a certain event in a baseball game) occurred in professional games played between 1947 and 2017. A 98 percent confidence interval to estimate the slope of the linear regression line relating the year, x, and the mean number of triples per game, y, yielded (−0.006,−0.002). A check shows that the conditions necessary for inference for the slope of the regression line are met.
The slope of a regression line is 0.8, and the standard error of the slope is 0.3. The sample used to compute this regression line consisted of 12 participants. Compute the 95% confidence interval for the slope. Type the upper limit of the confidence interval?
From a stand of eucalyptus, 25 trees were drawn and their diameters were determined, in cm, in order to estimate the mean diameter of the stand. These diameters were: a) Based on this sample, calculate the 90% and 95% confidence intervals for the population mean.b) Obtain the 95% confidence interval for population variance.
The 98% confidence interval for the intercept, coefficient of X1, and coefficient of X2 of a linear model with 2 predictors, are (18, 24), (-2,9) and (-1, 3) respectively based on 33 samples. a) What are the t-stats for X1 and X2? b) Is the coefficient of X1 statistically more significant than that of X2?
A pharmaceutical company is examining the relationship between dosage of a new pain-relief medication and the time it takes for patients to experience pain relief from a headache. Various dosages ranging from 200 to 1,200 milligrams (mg) in 100-milligram increments were given to 41 randomly selected patients, and the time until relief was measured in minutes. A check of the conditions necessary for inference for the slope of a regression line shows that they are met. A 95 percent confidence interval for the slope of the regression line relating the dosage, x, to the time until relief, y, is given by (−4.15,−2.27). Based on the confidence interval, which of the following claims is supported? A 100 mg increase in dosage results in a decrease in the time until relief by more than two minutes on average. A A 100 mg increase in dosage results in a decrease in the time until relief by more than four minutes on average. B There is not a linear relationship…
A pharmaceutical company is examining the relationship between dosage of a new pain-relief medication and the time it takes for patients to experience pain relief from a headache. Various dosages ranging from 200 to 1,200 milligrams (mg) in 100-milligram increments were given to 41 randomly selected patients, and the time until relief was measured in minutes. A check of the conditions necessary for inference for the slope of a regression line shows that they are met. A 95 percent confidence interval for the slope of the regression line relating the dosage, x, to the time until relief, y, is given by (−4.15,−2.27). Based on the confidence interval, which of the following claims is supported? A 100 mg increase in dosage results in a decrease in the time until relief by more than two minutes on average. Answer A: A 100 milligram increase in dosage results in a decrease in the time until relief by more than two minutes on average. A A 100 mg increase in dosage…
To study the effect of curing temperature on shear strength of a certain rubber compound, 80 specimens were cured at 150°C and 95 were cured at 130°C. The specimens cured at 150°C had an average shear strength of 620 psi, with a standard deviation of 20 psi. Those cured at 130°C had an average shear strength of 750 psi, with a standard deviation of 30 psi. Find a 95% confidence interval for the difference between the mean shear strengths of specimens cured at the two temperatures.
A researcher was interested in the relationship between the number of texts sent in a day and the number of e-mails sent in a day by employees at a certain company. Using 15 data values, a 90 percent confidence interval for the slope of a regression model was found to be (2.31,3.47). The researcher claims that the interval would have been narrower with a different sample size if all other things remained the same. Which of the following sample sizes would make the researcher’s claim NOT true?

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS