Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
Question: Ages of husbands and wives are recorded for a randomly selected sample of n = 200 opposite-sex married couples in the United States. The data will be used to do a simple linear regression with y = husband's age and x = wife's age.
a. Explain the distinction between the regression line for the sample and the regression line for the population in this situation. Include descriptions of the sample and the population.
b. Write the population model for the simple linear regression that describes how the age of a husband is related to the age of a wife. Write any necessary assumptions about deviations from the line.
Would you classify these data as time series or cross-sectional and which of the variables are quantitative and which are qualitative?
what is the value of y when x 3 if the equation of the regression line is y 23.1 - 3.8x ?a. 4.73b. 5.29c. 34.5d.
b. If the forecast in May was 42, develop a forecast for December based on exponential smoothing with α = 0.25. c. For the data set below, determine the bias, the mean squared error and the mean absolute deviation.
Conduct an analysis of variance test to determine whether there is any evidence that the population mean times through some pair of traffic bottlenecks are different. Use a = 0.05.
Compute the variance and standard deviation
Compute the expected value of perfect information. Do you think it would be worth trying to obtain additional information concerning which scenario is likely to occur?
Test that the mean SAT score for math in 1999 is greater than that in 1989 at α = 0.05. Assume the variances are equal. Test for the equality of the variances at α = 0.05.
The Cold War: Why did the Cold War happen? How was this both an ideological struggle and potentially a military struggle? How did it shape American foreign policy and life within the United States?
In answering this questions, set up and test appropriate hypotheses using D = 0.01. Construct a 99 percent confidence interval on the true mean difference in breaking strength.
Suppose a medical researcher finds a negative correlation between amount of weekly walking and the incidence of heart disease for people over 50 years old.
What might lead minority students to take more or fewer high school math courses? Would these same factors influence success in college?
At one university, the distance to students' home is normally distributed with a mean of 200 miles and a standard deviation of 25 miles.
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +1-415-670-9521
Phone: +1-415-670-9521
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd