Question

Following table, illustrate time x an employee spent in years for a typical company versus his/her...

Following table, illustrate time x an employee spent in years for a typical company versus his/her hourly pay y in dollars. Find average amount of years employee spent in a company and average hourly pay. Also, find the coefficient of correlation between these quantities.

X (time in years )

3 4 5 10 15 20

Y (hourly salary)

15 17 22 33 37 40

Homework Answers

Answer #1

solution

X Y
3 15 -6.5 -12.33 42.25 152.0289 80.145
4 17 -5.5 -10.33 30.25 106.7089 56.815
5 22 -4.5 -5.33 20.25 28.4089 23.985
10 33 0.5 5.67 0.25 32.1489 2.835
15 37 5.5 9.67 30.25 93.5089 53.185
20 40 10.5 12.67 110.25 160.5289 133.035
57 164 47.5 136.67 2256.25 18678.69 6491.825

averate amount of year = 57/6 = 9.5years

average hourly pay = 164/6 = 27.33 dollar

cofficient of correlation

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
x 5 3 4 10 15 y 25 20 21 35 38 The time x in...
x 5 3 4 10 15 y 25 20 21 35 38 The time x in years that an employee spent at a company and the employees hourly pay, y, for Compute the correlation coefficient. (2 decimal places) Determine the regression line equation. (2 decimal places) Predict the hourly pay rate of an employee who has worked for 12 years (nearest tenth)
An employee with 25 years of service at a company is considering retirement at some time...
An employee with 25 years of service at a company is considering retirement at some time in the next 10 years. The employer uses a final pay benefit formula by which the employee receives an annual benefit payment of 2.0 percent of her average salary during her last five years of service times her total years employed. The employee’s average salary over the last 5 years of service is as follows:    Average Salary during last Five Years of Service...
The following data represent a company's yearly sales volume and its advertising expenditure over a period...
The following data represent a company's yearly sales volume and its advertising expenditure over a period of 8 years. (Y) Sales in Millions of Dollars (X) Advertising in ($10,000) 15 32 16 33 18 35 17 34 16 36 19 37 19 39 24 42 Develop a 95% confidence interval for predicting the average sales for the years when $400,000 was spent on advertising. i. Compute the correlation coefficient. alpha=5 urgently need detailed solution please
At a large company, the salaries (y, in thousands of dollars) and years of experience (x)...
At a large company, the salaries (y, in thousands of dollars) and years of experience (x) of six randomly chosen engineers are: x (years) 6 7 9 10 13 15 y (salary) 44 41 43 45 51 49 Compute the least squares regression equation and use that equation to predict the salary (in thousands of dollars) of a new employee with 8 years of experience,
The table below gives the number of hours spent unsupervised each day as well as the...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would...
Applications I Consider the following data representing the total time (in hours) a student spent on...
Applications I Consider the following data representing the total time (in hours) a student spent on reviewing for the Stat final exam and the actual score on the final. The sample of 10 students was taken from a class and the following answers were reported. time score 0 23 4 30 5 32 7 50 8 45 10 55 12 60 15 70 18 80 20 100 Part 1: Use the formulas provided on the 3rd formula sheet to compute...
Let x be the age in years of a licensed automobile driver. Let y be the...
Let x be the age in years of a licensed automobile driver. Let y be the percentage of all fatal accidents (for a given age) due to speeding. For example, the first data pair indicates that 39% of all fatal accidents of 17-year-olds are due to speeding. x 17 27 37 47 57 67 77 y 39 22 22 12 10 7 5 Complete parts (a) through (e), given Σx = 329, Σy = 117, Σx2 = 18,263, Σy2 =...
Kipley Company is a small manufacturing firm located in Pittsburgh, Pennsylvania. The company has a workforce...
Kipley Company is a small manufacturing firm located in Pittsburgh, Pennsylvania. The company has a workforce of both hourly and salaried employees. Each employee is paid for hours actually worked during each week, with the time worked being recorded in quarter-hour increments. The standard workweek consists of 40 hours, with all employees being paid time and one-half for any hours worked beyond the 40 regular hours. Wages are paid every Friday, with one week's pay being held back by the...
The following data set is obtained by a randomly selected sample of 93 employees working at...
The following data set is obtained by a randomly selected sample of 93 employees working at a bank. SALARY EDUC EXPER TIME 39000 12 0 1 40200 10 44 7 42900 12 5 30 43800 8 6 7 43800 8 8 6 43800 12 0 7 43800 12 0 10 43800 12 5 6 44400 15 75 2 45000 8 52 3 45000 12 8 19 46200 12 52 3 48000 8 70 20 48000 12 6 23 48000 12...
NOTE: you might be able to get all the necessary information from the Excel analysis output...
NOTE: you might be able to get all the necessary information from the Excel analysis output or the scatter plot. You don’t need to do computations by applying the numeric formula. A clothing department wants to find out if there is a relationship (and what kind of relationship) between the price of an item and the time that it takes to a customer to decide in buying that item. ITEM PRICE (X) DECISION TIME IN MINUTES (Y) $17 9 $63...