For item 1 to 5, referring to Table 3.5.Consider the ff. data set, in which a maker of asphalt shingles is interested in the relationship between sales for aparticular year and factors that influence sales. Y-sales(in thou $); X1- promotional accounts; X2- active accounts;X3- competing brands; X4- potentialTable 3.5YX1 X2 X3X4291.9 9 56 5 10160 4 42 84339.4 6.5 73 516159.6 5.5 60786.3 5 4412237.5 6 506107.2 539 10 4Describe the relationship between sales and competing brands.no correlationmoderate negative correlationmoderate positive correlationhigh positive correlationOhign negative relationshipܨ67261112

The given data is y x1 x2 x3 x4 291.9 9 56 5 10 160 4 42 8 4 339.4 6.5 73 5 16 159.6 5.5…

Answered: onsider the ff. data set, in which a…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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Researchers wondered whether the size of a person's brain was related to the individual's mental capacity. They selected a sample of 5 females and 5 males and measured their MRI image pixel counts and IQ scores. Females Males MRI IQ MRI IG The data is reported to the right. Complete parts (a) through (d) below 139 858,472 140 955,003 935,494 924,059 1.079.550 1,001.121 Click the icon to view the critical values table. 991,305 138 141 857,782 833,868 790,619 133 135 132 141 135 140 AMRI 1,080,000- AIO 145 AIO 145- AMRI 1,080,000 780,000 130 130 780,000 130 780,000 780,000 130 1,080,000 145 1,080,000 MRI 145 MRI (b) Compute the linear correlation coefficient between MRI count and IQ. Are MRI count and IQ linearly related? Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) A. Yes, MRI count and IQ are linearly related since the linear correlation coefficient is O B. No. MRI count and IQ are not…
Christine is a sales manager for a car rental company. She has a scatterplot with data regarding the years of experience of sales representatives and percent of satisfied customers. What information would the scatterplot below indicate? Select all that apply. 100 90 80 70 50 40 30 20 10 1 3 5 6 7 Years of Experience of Salesperson O Satisfaction rate is the independent variable. O Satisfaction rate is the dependent variable. O Years of experience is the independent variable. O Years of experience is the dependent variable. O Christine should consider customer satisfaction training for her more novice representatives. O There is a positive correlation between years of experience and customer satisfaction. O There is a negative correlation between years of experience and customer satisfaction. O There is no correlation between years of experience and customer satisfaction. Percent of Satisfied Customers
Test Score 7. A history teacher asked her students how many hours of sleep they had the night before a test. The data below shows the number of hours the student slept and their score on the exam. Plot the data on a scatter plot. Hours Slept 5 7 4 9 Test Score 83 86 74 88 76 63 90 60 89 81 90 85 80 75 70 65 60 1 2 3 4 5 6 7 8 9 10 11 # of Hours Slept
Which graph shows the line of best fit for the data?
The scatter plot shows the number of hours worked and money spent on entertainment by each of 24 students. Also shown is the line of best fit for the data. Fill in the blanks below. 70 65 60 55. Amount of 50 × 45 money spent on entertainment 40+ (in dollars) 35. × × 30 25 20 15. × 10+ 5-x 0 6 8 10 12 14 16 18 20 22 Number of hours worked (a) For these 24 students, as the number of hours increases, the amount of money spent tends to (Choose one) (b) For these 24 students, there is (Choose one) money spent. correlation between the number of hours worked and the amount of (c) Using the line of best fit, we would predict that a student working 8 hours would spend approximately (Choose one) ▼ ك ?
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onsider the ff. data set, in which a maker of asphalt shin rticular year and factors that influence sales. Y-sales(in 3- competing brands; X4- potential ble 3.5 Y X1 X2 X3 X4 291.9 9 56 5 10 160 4 42 8 4 230 4 70 15