e 9-6. The data about the sales and advertisement expenditure ofa firm is given below:Advertisement expenditure(in crores of Rs.)Sales(in crores of Rs.)Means40Standard deviations101.5Coefficient of correlation =r = 0•9(i) Estimate the likely sales for a proposed advertisement expenditure of Rs. 10 crores.(ii) What should be the advertisement expenditure if the firm proposes a sales target of 60 crores ofrupees ?

Answered: Image /qna-images/answer/ef0ba272-7a88-43b2-9c49-29258419bf52.jpg

Answered: e 9-6. The data about the sales and…

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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When calculating a correlation coefficient between two continuous variables, the scales on which the variables are measured affect the value of the correlation coefficient. True or False
What variable measures the association between two Quantitative variables (positive/negative and Strength of the relationship between them?
It is desired to investigate whether there is a relationship between the two variables. In which case is chi-square analysis preferred and in which case correlation analysis is preferred? Express it in your own words.
A data set contains information on the grams of fat and number of calories in 25 different fast foods. The correlation coefficient between fat content and calories is determined to be -0.45. Calculate the p-value for the test of significance.
Let x be the average number of employees in a group health insurance plan, and let y be the average administrative cost as a percentage of claims. x 3 7 15 32 75 y 40 35 30 26 18 (a) Make a scatter diagram of the data and visualize the line you think best fits the data. Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website. (b) Would you say the correlation is low, moderate, or strong? positive or negative? strong and negative moderate and negative strong and positive low and negative low and positive moderate and positive (c) Use a calculator to verify that Σx = 132, Σx2 = 6932, Σy = 149, Σy2 = 4725, and Σxy = 2997. Compute r. (Round your answer to three decimal places.)r = As x increases, does the value of r imply that y should tend to increase or decrease? Explain. Given our value of r, we cannot draw any conclusions for the behavior of y as x increases. Given our value of r, y should tend to…
Part A: What is the most likely value of the correlation coefficient of the data in the table? Based on the correlation coefficient, describe the relationship between time and surface area of the lake. [Choose the value of the correlation coefficient from −1, −0.98, −0.5, −0.02.] Part B: What is the value of the slope of the graph of surface area versus time between 15 and 20 days, and what does the slope represent? Part C: Does the data in the table represent correlation or causation? Explain your answer.
An ecologist is interested in exploring the relationship between pollination rate and the number of bees present at apple orchards. The relationship is: (Pollination rate) = 372.6 + 13.5 x (bees) with r = 0.80. The best interpretation of the correlation coefficient is: (pick one) 1. 64% of the variability in pollination rate observed at apple orchards is explained by the relationship with the number of bees 2. the correlation between pollination rate and number of bees is 0.64 3. 80% of the variability in number of bees at apple orchards is explained by the relationship with the pollination rate 4. the correlation between pollination rate and number of bees is 0.80
What are some of the possible reasons for large correlations betwen a pair of variables, X and Y?
Which of the following sets of data represent valid functions? OR = {(– 5,0), (2, 3), (6, 4), (8, 9), (15, 14)} OG = {(– 5, – 3), (2, 1), (2, 4), (8, 7), (15, 13)} OS = {(– 5, – 4), (2, 3), (6, 5), (7, 9), (11, 16)} OF = {(– 4, – 1), (3, 2), (5, 4), ( – 4, – 1), (10, 15)} - - Question Help: DVideo
As part of the preliminary analysis of the data provided in Table D, the researcher produced the scatter plot below. Average taings, mo = e Scatter plot of Sales vs Earnings (IV) (V) (VI) A. (I), (II), and (VI) B. (II), (III), and (V) C. (III), (IV), and (V) D. (II), (IV) and (V) 40 . 50 Average Annual Sales 60 Which THREE of the following assumptions are inferable or discernible from the scatter plot? (1) Whether the sample of 20 MSMEs is representative of the population of MSMEs in the Western Cape province. Whether the assumption of a linear relationship between the independent variable and the dependent variable has been met or violated. Whether the assumption of normality of the independent variable and the dependent variable has been met or violated. The absence or presence of outliers in the data set. The direction of the relationship between the independent variable and the dependent variable. The significance of the relationship between the independent variable and the…

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