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!
Q1) Large mail-order house believes that there is linear relationship between weight of mail it gets and number of orders to be filled. It would like to investigate relationship to forecast the number of orders, based on weight of the mail. From operational prospective, knowledge of number of orders will help in planning of order fulfilment process. Sample of 25 mail shipments is selected that range from 200 to 700 pounds.
Weight of Mail(pounds)
Orders (Thousands)
216
6.1
283
9.1
237
7.2
203
7.5
259
6.9
374
11.5
342
10.3
301
9.5
365
9.2
384
10.6
404
12.5
426
12.9
482
14.5
432
13.6
409
12.8
553
16.5
572
17.1
506
15
528
16.2
501
15.8
628
19
677
19.4
602
19.1
630
18
652
20.2
i) Create a scattered plot
ii) Suppose a linear relationship, use least-squares method to determine the regression coefficients, b0 and b1
iii) Interpret meaning of the slope, b1, in this problem
iv) Forecast mean number of orders when weight of the mail is 500 pounds
v) Find out the coefficient of determination, r2, and interpret its meaning.
Write out the multiple regression equation using the given data.
Test either there is any difference among the given variable also what does the Levene's Test shows. What variable is presented in this table.
The ages of cars owned by all employees of a large company have a bell shaped distribution with a mean of 8 years and a standard deviation of 2 years. Using the empirical rule, find the approx. percentage of cars (owned by those employees) that are b..
What is the probability that the team wins tonight and that there will be a large crowd at tomorrow's game?
What is Peter's median grade point at graduation? What is the shape of the grade point distribution?
If we select a crew member at random, what is the probability the crew member earns:
For a standard normal distribution, findout the percentage of data that are among 3 standard deviation below the mean also1 standard deviation above the mean.
Assuming that the variability is unchanged (i.e., σ = 6), is there sufficient evidence to suggest that the strength of the product has increased at the 1% level of significance?
Perform a parametric analysis by assessing the fractional change in the probability of failure with respect to a small change in the mean and standard deviation of selected variable.
The following data represent the cost of electricity for the period of July 2008 for a random sample of 50 one-bedroom apartments in a large city.
What can one conclude about the librarian's hypothesis at a level of significance of .05?
Which of the following would be most helpful in assessing the practical significance of a test of hypotheses about a proportion?
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