Table 16.3Calculation of Correlation Coefficientx²Yy?XY25625162564001832411121198321024204006402144115225315351225266769102984128784812EX = 160ΣΧ4480ΣΥ-116EY? = 2462ΣΧΥ-3275%3D Example 16.6 Refer to Example 16.3 where r = 0.84 and n = 6. Determine whether there is significantassociation between advertising expenditure and sales revenue.

Given that correlation coefficient (r)= 0.84 Sample size (n)=6 We have to determine if there is…

Answered: Example 16.6 Refer to Example 16.3…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Hi I know that you can’t answer all questions. Can you just answer question 21 please.
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From the following data of the daily wage of 500 workers of a factory find the number of workers : (a) whose wages are more than $ 370 but not more than $ 400. (b) whose wages are less than $ 370 but not less than $ 350. Wages not exceeding $ 300 =150 workers Wages not exceeding $ 350 = 180 workers Wages not exxceeding $ 400 = 240 workers Wages not exceeding $ 450 = 400 workers Wages not exceeding $ 500 = 500 workers
31
llustration 21.14. Calculate the coefficient of contingency from the following data relating social status and intelligence: Social Status Dull Brilliant Average 35 Lower Middle Middle 22 23 38 70 32 Upper Middle 60 20 20
Which ONE of the following statements regarding 0.581 on the summary output is correct? Group of answer choices 0.581 is the correlation for TIP and PREDICTED-SALES AMOUNT. -0.581 (negative 0.581) is the correlation for SALES AMOUNT and TIP. -0.581 (negative 0.581) is the correlation for TIP and PREDICTED-TIP. 0.581 is the correlation for TIP and PREDICTED-TIP. -0.581 (negative 0.581) is the correlation for SALES AMOUNT and PREDICTED-TIP. 0.581 is the correlation for SALES AMOUNT and PREDICTED-SALES AMOUNT.
The following data refers to the amount of caffeine (in mg) consumed by ten university students and their time to complete a practice test (in minutes) for a Economics Exam. Use attached Graph and Table to answer question below pls Describe the overall pattern of the relationship between caffeine amount and time to finish the practice exam in graph diagram provided. Does it follow a straight-line pattern? Is there a positive or negative association, or neither? How strong is the relationship?
Question 1: A recent article in an educational research journal reports a correlation of +0.8 between math achievement and overall math aptitude. It also reports a correlation of –0.8 between math achievement and a math anxiety test. 1) Interpret these two associations 2) Compare which correlation is stronger.
When the values of x tend to increase while the values of y tend to decrease; we say that: Answer choices: a. there is a cause-and-effect relationship between the two variables. b. there is a negative correlation between the variables. c. there is no correlation between the two variables.

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Example 16.6 Refer to Example 16.3 where r = 0.84 and n = 6. Determine whether there is significant association between advertising expenditure and sales revenue.