The sales strategy data given below yields the following statistics for the sum of squares for treatments and the sum of squares for error.Strategy 1351613538913Sales by Strategy (Millions of Dollars)Strategy 2 Strategy 3 Strategy 4165310314254149369151228106313Copy Data72.9778743.3333SSTSSEStep 1 of 4: What are the degrees of freedom associated with the total sum of squares, TSS?24Strategy 59539913

Want to calculate degrees of freedom associated with the total sum of squares (TSS).

Answered: The sales strategy data given below…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Short Case:2 Annual sales of Macro company as follows: Year 2016 2017 2018 2019 2020 Sales (in Millions) 200 250 300 350 400 a) Find the trend values for the years 2019 and 2020 by using the method of least squares. b) Estimate the annual sales for the years 2021 and 2022.
5. Economic growth Entrepreneurship employment No. of women entrepreneurs per 100 women 500 45 49 32 234 32 63 12 432 40 41 17 556 56 21 20 765 68 17 65 986 87 79 885 76 63 453 34 25 43 786 56 19 67 776 67 17 60 723 61 20 55 987 88 3 82 Study the table given above and answer the following questions. a. Identify the dependent and independent variables from the above data. b. Explain the relationship between these variables and conduct a literature review on them. c. Calculate correlation coefficient between the variables. Find the coefficient of non determination and the standard error estimate d. Fit regression line and interpret intercept and coefficients. (* e. Draw the scatter plot for Economic growth and entrepreneurship.
College Graduation Rates. Data from the College Results Online website compared the 2011 graduation rate and median SAT score for 92 similar-sized public universities and colleges in the United States. The scatterplot below shows the relationship between these two variables along with the least squares fit. Round all calculated results to 4 decimal places. I ONLY need help with question 6.
Analysis produced the following results: Total Sum of Squares 4633 Unexplained Sum of Squares 2010 What percentage of the variation in the dependent variable has been explained by variation in the independent variable?
Need help! Pls box your final answer
Q3B All Fresh Seafood is a wholesale fish company based on the east coast of the U.S. Catalina Offshore Products is a wholesale fish company based on the west coast of the U.S. Table #9.2.5 contains prices from both companies for specific fish types ("Seafood online," 2013) ("Buy sushi grade," 2013). Data is in following table: Fish All Fresh Seafood Prices Catalina Offshore Products Prices Cod 19.99 17.99 Tilapi 6.00 13.99 Farmed Salmon 19.99 22.99 Organic Salmon 24.99 24.99 Grouper Fillet 29.99 19.99 Tuna 28.99 31.99 Swordfish 23.99 23.99 Sea Bass 32.99 23.99 Striped Bass 29.99 14.99 Do the data provide enough evidence to show that a west coast fish wholesaler is more expensive than an east coast wholesaler? Test at the 5% level. (iv) Determine sample mean of differences x⎯⎯div Determine sample mean of differences x¯d Enter in decimal form to nearest ten-thousandth. Examples of correctly…
You ask a small sample of 6 students what percentage score they obtained in a recent exam and how many hours they spent preparing for the exam. The data you obtained is summarised in the table below. Time spent studying (hours) 12 9 23 Answer: 7 13 11 Exam score (out of 100) 70 56 91 60 52 58 You fit a least squares line to the data which can be used to predict exam scores from the time spent studying. You find that the intercept of the line is equal to 37.691, and the slope is 2.145. Calculate the t-statistic used to the test the null hypothesis that the true population slope is zero. (Round the result to three decimal places.)
7. Fit a straight line trend by the method of least squares to the following data. Year: 1989 1990 1991 1992 1993 1994 1995 1996 Earnings: 38 40 65 72 69 60 87 95 (Rs lakhs) Fore cast the earnings for the year 1997.
The following data show the number of hurricanes to directly strike a certain country each decade. A major hurricane is one with a strength rating of 3, 4 or 5. Decade 1941 - 1950 1951 – 1960 1961 – 1970 1971 - 1980 1981 - 1990 1991 - 2000 2001 - 2004 Using only completed decades (1941 – 2000), calculate the least squares line for the number of major hurricanes expected based on the total number of hurricanes. (Round your answers to three decimal places.) ý = + X Total Number of Hurricanes Number of Major Hurr 21 11 18 8 13 12 4 15 14 9. 3 %3D
What is the coefficient of the dummy variable? What is the meaning of the coefficient of the dummy variable?
RESEARCH ANALYSIS AND PUBLICATION (LOB7) BATCH 27 An agent for a residential real estate company in a large city would like to be able to predict the monthly rental cost for apartments, based on the size of the apartments as defined by square footage. A sample of 14 apartments in a particular residential neighbourhood was selected, and the information gathered revealed the following: APARTMENT MONTHLY RENT ($) SIZE (SQUARE FEET) 1 950 850 2 1600 1450 3 1200 1085 4 1500 1232 5 950 718 6 1700 1485 7 1650 1136 8 935 726 9 875 700 10 1150 956 11 1400 1100 12 1650 1285 13 2300 1985 14 1800 1369 Do Normality Test and Linearity test, what did you find from these tests ? explain

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