A magazine tested paints. The table below shows the overall quality score and cost in dollars per gallon. Use the rank correlation coefficient to test for a correlation between thetwo variables. Use a significance level of alpha=0.05. Based on these results, do you get better quality paint by paying more?Quality 67Cost2779 7662 60 6676 68 63 65 6128 30 24 22 18 27 24 20 18 22OA. Reject the null hypothesis that there is no correlation between quality and cost. It appears that you cannot expect to get higher quality by purchasing more expensive paint.OB. Fail to reject the null hypothesis that there is no correlation between quality and cost. It appears that you cannot expect to get higher quality by purchasing more expensivepaint.OC. Reject the null hypothesis that there is no correlation between quality and cost. It appears that you can expect to get higher quality by purchasing more expensive paint.OD. Fail to reject the null hypothesis that there is no correlation between quality and cost. It appears that you can expect to get higher quality by purchasing more expensivepaint.

Given that: Quality, x Cost, y 67 27 76 28 68 30 63 24 65 22 61 18 79 27 76 24…

Answered: A magazine tested paints. The table…

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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An electronics retailer would like to investigate the relationship between the selling price of a certain digital camera model and the demand for it. The accompanying table shows the weekly demand for the camera in one particular market along with the corresponding price. Determine the sample correlation coefficient between the selling price and the demand for this camera. Click the icon to view the demand and price data. r = (Round to three decimal places as needed.) Demand and Price Demand Price 18 320 19 330 15 340 15 350 12 360 12 370 8 380 Print Done
Need only a handwritten solution only (not a typed one).
A magazine tested LCD televisions. The table below shows the overall quality score and cost in hundreds of dollars. Use the rank correlation coefficient to test for a correlation between the two variables. Use a significance level of x=0.01. Based on these results, can you expect to get higher quality by purchasing a more expensive LCD television? Quality 78 77 73 71 68 65 64 62 Cost 26 29 36 23 21 10 62 59 55 12 10 21 26 23 Click the icon to view the critical values of Spearman's rank correlation coefficient. Determine the null and alternative hypotheses for this test. Choose the correct answer below. O A. Ho: rs = 0 OB. Ho: Ps #0 H₁: Ps=0 H₁: rs #0 OC. Ho: Ps = 0 H₁: Ps #0 C Determine the correlation coefficient. rs = (Round to three decimal places as needed.) Determine the critical value(s) of the correlation coefficient. O D. Ho: rs #0 H₁: rs=0 (Round to three decimal places as needed. Use a comma to separate answers as needed.) Choose the correct answer below. A. Reject the null…
The following data represent the daily supply and the unit price for a product. Compute and interpret the sample correlation coefficient. Daily Supply (y) Unit Price (x) 5 2 7 4 9 8 12 5 10 7 13 8 16 16 16 6
Determine if there is a significant correlation between the sets of data at a 10% significance level. X 63 32 28 23 39 37 43 21 y 89 64 61 57 70 68 73 56 Negative Critical Value, tcrit [three decimal accuracy] Positive Critical Value, tcrit [three decimal accuracy] Test Statistic, ttest %3D [three decimal accuracy] Test Conclusion: Reject Ho. There is enough evidence to suggest a significant (positive or negative) linear correlation between the data sets. Fail to Reject Ho. There is not enough evidence to suggest a significant (positive or negative) linear correlation between the data sets.
You wish to determine if there is a negative linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 22 20 53 25 19 30 35 23 71 26 36 21 48 25 19 28 Ho: ρ = 0Ha: ρ < 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Greater than αα Less than (or equal to) αα The p-value leads to a decision to Accept Ho Do Not Reject Ho Reject Ho The conclusion is There is a significant linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. There is a significant positive linear correlation between driver age and number of driver deaths.…
The data obtained in a study on the number of absences in virtual class and the final grades of seven randomly selected students from a mathematics class. The data are shown below. To determine the significance of the correlation coefficient at 0.05 level of significance, what is the calculated or computed value (CV)? Number of absences x Final in a virtual class grade y 82 6 86 15 43 9. 74 58 5 90 78 a. -1.59 b. 2.32 C. -2.32 d. 1.59
You have been asked to find if there is a correlation between the amount of calories per serving in a bowl of cereal versus the amount of sugar (in grams) in the cereal. The following data has been given Which variable is the predictor and which variable is the response Sugar Calories 18 200 23 210 12 170 12 190 37 220 19 175 23 201 22 210 32 210 11 190 11 197 29 205
A grocery store manager did a study to look at the relationship between the amount of time (in minutes) customers spend in the store and the amount of money (in dollars) they spend. The results of the survey are shown below. Time 10 8 6 13 19 18 27 10 7 Money 58 25 41 51 84 81 87 45 15 Find the correlation coefficient: r=r= Round to 2 decimal places. The null and alternative hypotheses for correlation are:H0:H0: == 0H1:H1: ≠≠ 0 The p-value is: (Round to four decimal places) Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically insignificant evidence to conclude that there is a correlation between the amount of time customers spend at the store and the amount of money that they spend at the store. Thus, the use of the regression line is not appropriate. There is statistically significant evidence to conclude that there is a correlation between the amount of time…
A grocery store manager did a study to look at the relationship between the amount of time (in minutes) customers spend in the store and the amount of money (in dollars) they spend. The results of the survey are shown below. Time 25 8 24 6 18 16 7 12 Money 82 18 106 40 64 50 22 60 The null and alternative hypotheses for correlation are:H0:H0: ? r μ ρ Correct = 0H1:H1: ? ρ r μ Correct ≠ 0 The p-value is: (Round to four decimal places) Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically insignificant evidence to conclude that there is a correlation between the amount of time customers spend at the store and the amount of money that they spend at the store. Thus, the use of the regression line is not appropriate. There is statistically insignificant evidence to conclude that a customer who spends more time at the store will spend more money than a customer who spends…
A magazine tested paints. The table below shows the overall quality score and cost in dollars per gallon. Use the rank correlation coefficient to test for a correlation between the two variables. Use a significance level of alpha equals 0.05. Based on these results, do you get better quality paint by paying more? a. Calculate the test statistic. r s equals (Round to three decimal places as needed.) b. Find the critical values. r s equals plus or minus (Round to three decimal places as needed.)
The data shown below consists of the price (in dollars) of 7 events at a local venue and the number of people who attended. Determine if there is significant negative linear correlation between ticket price and number of attendees. Use a significance level of 0.01 and round all values to 4 decimal places. Ticket Price Attendence 6 196 10 148 14 100 18 173 22 189 26 134 Ho: ρ = 0Ha: ρ < 0 Find the Linear Correlation Coefficient r = Find the p-value p-value =

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