Answered: Calculate Karl Pearson's coeffcient of…

Calculate Karl Pearson's coeffcient of skewness from the following data: Weekly Sales (Ksh) 10-12 12-14 14-16 16-18 18-20 20-22 22-24 24-26 Number of Companies 12 18 35 42 50 30 8 4

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)

6th Edition

ISBN:9781337111348

Author:Bruce Crauder, Benny Evans, Alan Noell

Publisher:Bruce Crauder, Benny Evans, Alan Noell

Chapter3: Straight Lines And Linear Functions

Section3.4: Linear Regression

Problem 12SBE: Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4

See similar textbooks

Related questions

Q: Given the following data, determine which model is the better fit to the data. Show any graphs or…

A: Model 1 : y=ae-bx Model 2 : y=ae-bx+c For Model 1 the graph is shown below, y=ae-bxln y =ln a -…

Q: 10. Terry's best friend, Heather, is the owner of Heather's Hondas. Like Terry, Heather sells used…

A: 10. The value of r-squared is equal to 46.9%. The value of correlation is, r=0.469=±0.6848 From the…

Q: The following table shows the hot dogs bought from a street vendor over the course of eight days…

A: Linear regression measures the linear relationship between one dependent variable(or response…

Q: Test whether the number of cakes produced has any effect on sales based on the F-test at the 5%…

A: we want to test whether the number of cakes produced, has any effect on sales based on f test…

Q: The following table shows retail sales in drug stores in billions of dollars in the U.S. for years…

A: Given data: Year Retail Sales 0 85.851 3 108.426 6 141.781 9 169.256 12 202.297 15…

Q: Populate the table American Net Barrel Oil ($) Year Income ($ ху y (x) million) (y) 2005 56 -850…

A: ( Please note that ∑x2=28015 ) The data for American's net income and price of oil is listed…

Q: The percentage of employees who cease their employment during a year is referred to as employee…

A: E C 10 200 20 350 30 500 40 650

Q: The following table shows retail sales in drug stores in billions of dollars in the U.S. for years…

A: Fom the given information, fitted regression equation is given by as y^=9.44t+84.182 B. For 2011…

Q: Ozone (O3) is a major component of air pollution in many cities. Atmospheric ozone levels are…

A: Hey there! Thank you for posting the question. Since your question has more than 3 parts, we are…

Q: g. By caleulator, find and label, the 5-number summary of the Natural Gas Price in $ per Million…

A: Note: "Since you have posted a question with multiple sub -parts, we will solve first three sub…

Q: (c) Determine the linear correlation coefficient between square footage and asking price. r= (Round…

A: Given data is Square Footage , x Selling Price y 2306 396 3154 370.6 1093 184.4 1926…

Q: 1. The following cost and activity data were taken from factory records. Cost incurred (y) ($) 112…

Q: The following data represent the number of Shrimp Feast meals sold per day at a local seafood…

A: x Y 34 3 36 4 32 6 35 5 30 9 38 2 40 1 30 11…

Q: A cake shop produces different kinds of cakes a day. The number of cakes produced (x) is throughout…

A: Anova is the measure of a parametric test. It tests the mean significance between the groups of…

Q: The median weekly earnings for 16-24-year-old men employed full time are given below. Median Weekly…

A: Given is a dataset for median weekly earning of a 16-24 year old men, employed full-time. Consider…

Q: W Nutrition The following table shows the percent of water and the number of calories in various…

A: The linear equation is defined as y=a+bx . The least-square regression technique uses a dataset to…

Q: Consider the following data: A women’s clothing department wants to find out if there is a…

A: Given, x = Item Price y = Decision Time (in minutes) The table of calculations is given below;…

Q: Question 3 The following ACF plots were produced for raw data of monthly sales of two different…

Q: Consider the following quarterly demand level for electricity (in 1000 megawatts) in Mankweng from…

A: Hello! As you have posted more than 3 sub parts, we are answering the first 3 sub-parts. In case…

Question

Calculate Karl Pearson's coeffcient of skewness from the following data:
Weekly Sales (Ksh) 10-12 12-14 14-16 16-18 18-20 20-22 22-24 24-26
Number of Companies 12 18 35 42 50 30 8 4

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

SEE SOLUTION Check out a sample Q&A here

Step 1

Step 2

Step 3

Step 4

Step by step

Solved in 4 steps

SEE SOLUTION Check out a sample Q&A here

Similar questions

Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4
Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s pole vault height has fallen below the value predicted by the regression line in Example 2. This might have occurred because when the pole vault was a new event there was much room for improvement in vaulters’ performances, whereas now even the best training can produce only incremental advances. Let’s see whether concentrating on more recent results gives a better predictor of future records. (a) Use the data in Table 2 (page 176) to complete the table of winning pole vault heights shown in the margin. (Note that we are using x=0 to correspond to the year 1972, where this restricted data set begins.) (b) Find the regression line for the data in part ‚(a). (c) Plot the data and the regression line on the same axes. Does the regression line seem to provide a good model for the data? (d) What does the regression line predict as the winning pole vault height for the 2012 Olympics? Compare this predicted value to the actual 2012 winning height of 5.97 m, as described on page 177. Has this new regression line provided a better prediction than the line in Example 2?
am. 13.
Table #2.3.7 contains the value of the house and the amount of rental income in a year that the house brings in ("Capital and rental," 2013). Create a scatter plot and state if there is a relationship between the value of the house and the annual rental income. Table #2.3.7: Data of House Value versus Rental Value Rental Value Rental Value Rental Value Rental 81000 6656 77000 4576 75000 7280 67500 6864 95000 7904 94000 8736 90000 6240 85000 7072 121000 12064 115000 7904 110000 7072 104000 7904 135000 8320 130000 9776 126000 6240 125000 7904 145000 8320 140000 9568 140000 9152 135000 7488 165000 13312 165000 8528 155000 7488 148000 8320 178000 11856 174000 10400 170000 9568 170000 12688 200000 12272 200000 10608 194000 11232 190000 8320 214000 8528 208000 10400 200000 10400 200000 8320 240000 10192…
Midgett Co. has accumulated data to use in preparing its annual profit plan for the upcoming year. The cost behavior pattern of the maintenance costs must be determined. The accounting staff suggested that linear regression be employed to derive an equation for maintenance hours and costs. Data regarding the maintenance hours and costs for the last year and the results of the regression analysis are as follows: Month MaintenanceCost Machine Hours Jan. $ 5,000 600 Feb. 3,644 440 Mar. 4,400 610 Apr. 3,337 480 May 5,222 660 June 3,390 410 July 3,618 470 Aug. 5,384 630 Sept. 5,114 590 Oct. 4,883 590 Nov. 3,925 430 Dec. 3,850 350 Sum $ 51,767 6,260 Average $ 4,313.92 521.67 Average cost per hour ($51,767/6,260) = $8.27 (rounded to the nearest cent) r = 0.85977 r2 = 0.73920 The percent of the total variance that…
Which of the following situations could produce data sets or plots that could have a regression line with a negative y-intercept? Select all that apply. Select all that apply: The net profit of a company as a function of the number of months since it was founded, where net income is gross income minus expenses. The number of employees of a company as a function of the number of months since it was founded. The cost of a company's flagship product as a function of the number of months since it was founded. The number of franchises of a company as a function of the number of months since it was founded.
9 students were surveyed to see what their age is and what their income level is. Find the equation of the line using linear regression. We want to predict their age using their income. age income 18 456 24 786 38 835 22 855 19 645 35 244 28 587 19 1400 27 975 Just a side note, the 19 year old is making 1400, would be considered an outlier since they are making way more than everyone else. (y=-.0061x+34,9874 decimals) hp
Midgett Co. has accumulated data to use in preparing its annual profit plan for the upcoming year. The cost behavior pattern of the maintenance costs must be determined. The accounting staff suggested that linear regression be employed to derive an equation for maintenance hours and costs. Data regarding the maintenance hours and costs for the last year and the results of the regression analysis are as follows: Month MaintenanceCost Machine Hours Jan. $ 5,040 620 Feb. 3,648 420 Mar. 4,320 520 Apr. 3,331 390 May 5,221 650 June 3,550 400 July 3,655 430 Aug. 5,365 690 Sept. 5,110 640 Oct. 4,866 610 Nov. 3,944 460 Dec. 3,790 440 Sum $ 51,840 6,270 Average $ 4,320.00 522.50 Average cost per hour ($51,840/6,270) = $8.27 (rounded to the nearest cent)r = 0.99821r2 = 0.99780The percent of the total variance that can be…
Companies in the U.S. car rental market vary greatly in terms of the size of the fleet, the number of locations, and annual revenue. In 2011, Hertz had 320,000 cars in service and annual revenue of approximately $4.2 billion. Suppose the following data show the number of cars in service (1,000s) and the annual revenue ($ millions) for six smaller car rental companies. Cars Revenue Company (1,000s)| ($ millions) Company A 11.5 120 Company B 10.0 137 Company C 9.0 102 Company D 5.5 37 Company E 4.2 38 Company F 3.3 34 (a) Develop a scatter diagram with the number of cars in service as the independent variable. 160 160 1601 160- 140 140 140 120- 140 120- 120 120- 100- 100 100- 100- 80 80 80- 80 60 60 60 60 40 .. ... 40 ... 40 40 .. 20 20- 20- 20 2 4 6 8 10 12 14 2 4 6 8 10 12 14 2 4 6 8 10 12 14 2 4 6 8 10 12 14 Cars in Service (1,000s) Cars in Service (1,000s) Cars in Service (1,000s) Cars in Service (1,000s) (b) What does the scatter diagram developed in part (a) indicate about the…
Attaching the question
Sales for the past 12 months at Computer Success are given here. Month Sales ($) Month Sales ($) January February March April May June 3000 3400 3700 4100 4700 5700 July August September October November December 6300 7200 6400 4600 4200 3900 a. Use a three-month moving average to forecast the sales for the months May through December.b. Use a four-month moving average to forecast the sales for the months May through December.c. Compare the performance of the two methods by using the mean absolute deviation as the performance criterion. Which method would you recommend?d. Compare the performance of the two methods by using the mean absolute percent error as the performance criterion. Which method would you recommend?e. Compare the performance of the two methods by using the mean squared error as the performance criterion. Which method would you recommend?
I need help with this problem 1. Interpret both the slope and y-intercept in words, specific to this problem.