Question

In: Statistics and Probability

A company want to find out if there is a linear relationship between indirect labor expense...

A company want to find out if there is a linear relationship between indirect labor expense (ILE), in dollars, and direct labor hours (DLH). Data for direct labor hours and indirect labor expense for 25 months are given. Based on the data in the table below, is there a significant linear relationship between Direct Labor Hours and the Indirect Labor Expense?

  • A.

    Yes, because the p-value = 0.00023

  • B.

    No, the sample correlation coefficient is equal to 0.878, which provides evidence of a significant linear relationship.

  • C.

    No, because the p-value = 0.00023

  • D.

    Yes, the sample correlation coefficient is equal to 0.878, which provides evidence of a significant linear relationship.

DLH(X) ILE(Y)
20 361
25 355
22 376
23 384
20 374
19 311
24 427.2
28 387.5
26 450.8
29 475.2
27 462.6
22 333.3
26 389.9
25 445
28 511
32 501.1
33 544.9
35 423.8
34 574.1
30 535.4
36 444.7
37 578.4
37 399.6
31 355
20 313

Solutions

Expert Solution

We need to find the sums ∑x , ∑y, ∑x*y, ∑x2 and ∑y2

∑x =699 , ∑y =10713.5, ∑x*y = 302477.1, ∑x2 = 19763 and ∑y2 =4739569

r =

r =

r = 0.6729

Test statistic t =

=

t = 4.36

P value : We can use excel function =TDIST( |t| ,df , tail ) to find the P value

| t | is positive value of test statistic t, df = n-2 = 25-2 = 23  and tail =1 for one tail and 2 for two tail

=TDIST(4.3,23,2 )

=0.00023

As P value is less than 0.05 ,there a significant linear relationship between Direct Labor Hours and the Indirect Labor Expense

Answer : A) Yes, because the p-value = 0.00023


Related Solutions

A company want to find out if there is a linear relationship between indirect labor expense...
A company want to find out if there is a linear relationship between indirect labor expense (ILE), in dollars, and direct labor hours (DLH). Data for direct labor hours and indirect labor expense for 25 months are given. Please see attached Excel for data. Approximately what percentage of the variation in indirect labor expenses is explained by the regression model you derived? Place your answer, rounded to 2 decimal places, in the blank. Do not use any stray punctuation marks...
A company has observed that there is a linear relationship between indirect labor expense (ILE) ,...
A company has observed that there is a linear relationship between indirect labor expense (ILE) , in dollars, and direct labor hours (DLH). Data for direct labor hours and indirect labor expense for 18 months are given in the file ILE_and_DLH.xlsx Treating ILE as the response variable, use regression to fit a straight line to all 18 data points. Based on your results, If direct labor hours (DLH) increases by one hour, the indirect labor expense (ILE), on average, increases...
You want to determine if there is a linear relationship between mental health and physical health....
You want to determine if there is a linear relationship between mental health and physical health. You have several people assessed by a psychologist and a medical doctor. The psychologist assess mental health (ment) on a scale of 1-30 (higher numbers mean better mental health) and the medical doctors rated their overall physical health (phys) from 1-30 (higher numbers mean better health). You obtain the data below. (note: there is more information than you need) Person   MENT   PHYS   + -...
A trainer wishes to find out if there is a relationship between the number of miles...
A trainer wishes to find out if there is a relationship between the number of miles walked per week and the weight of a person. The data for the sample are shown: Miles Walked, x: 15 20 3 12 17 8 Weight (lbs.), y: 147 106 210 160 122 165 a) Compute the value of the correlation coefficient. b) Find the equation of the regression line. c) Find y’ (the weight) when x = 11. (Someone walks 11 miles).
What is the difference between a linear relationship and a curvilinear relationship in linear regression?
What is the difference between a linear relationship and a curvilinear relationship in linear regression?
Explain the difference between a positive linear relationship, a negative linear relationship, and a nonlinear relationship...
Explain the difference between a positive linear relationship, a negative linear relationship, and a nonlinear relationship and give an example of each.
Linear regression is a statistical tool commonly used to find a relationship that exists between a...
Linear regression is a statistical tool commonly used to find a relationship that exists between a variable and one explanatory variable. What are the factors that affect a linear regression model? How can you accomplish linear regression in R? Please provide an example to illustrate your assertions.
Number 1 Say that you want to use simple linear regression to model the relationship between...
Number 1 Say that you want to use simple linear regression to model the relationship between the explanatory variable x= the number of alcoholic drinks consumed per week, and the response variable y= number of hours of exercise per week. You collect data on n=52 people, and find the regression line ŷ=10-0.3x. (2 pts) What is the theoretical model underlying your regression analysis? (4 pts) Say that Lorenzo has six alcoholic drinks a week. Predict how many hours he will...
Suppose you want to model the linear relationship between calories and total fat in 8 randomly...
Suppose you want to model the linear relationship between calories and total fat in 8 randomly selected McDonalds breakfast items. The following table lists the item, that item’s number of calories and the total fat: Item McMuffin Bacon Egg & Cheese Bagel Big Breakfast Cinnamon Melts Egg White Delight Fruit & Oatmeal Sausage Biscuit Steak & Egg McMuffin Calories (x) 300 620 640 460 250 290 430 430 Total Fat (y) 13 31 37 19 8 4 27 23 (4...
A study was conducted to find out the type of relationship between randomly selected15 Masters of...
A study was conducted to find out the type of relationship between randomly selected15 Masters of Education Degree students scores in Research Methods and Statistics at Mount Kenya University during the 2012/2013 academic year. The results were as displayed in the table below. Student    Research marks   Statistics marks 1   84   69 2   74   64 3   48   56 4   54   72 5   72   85 6   71   68 7   96   87 8   75   86 9   69   71 10   100   91 11  ...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT