Which of the following is a limitation for interpreting a correlation?
Q: confuse
A: Solution We plot scatter plot by excel
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Q: I need help with trying to solve (b) Please help.
A: GenerationxyMillennials3936Gen X5451Boomers6558Silent/Greatest Generation7366
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- 2. Step 3.2 Instructions: Please answer these a.b.c questions. Dont use excel. Please explain well by your knowledge.at the 0.05 significance level, does the data below show significant correlation. x is 3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18, y is 19.07, 25.46, 26.95,34.34,24.73,28.82,35.71,43.6,35.19,41.48,49.07,53.46,52.05,53.64,51.43,63.92. yes, significant correlation or no.Thank you in advance :)
- You wish to determine if there is a 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 21 22 39 21 38 18 23 22 79 36 42 22 65 29 Ho: p = 0 Ha: p= 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is O Less than (or equal to) a Greater than a The p-value leads to a decision to O Reject Ho O Accept Ho O Do Not Reject Ho The conclusion is O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. O There is a significant negative linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation…A newspaper collected information on schools in its circulation area in order to compare their quality. Two Which is a true statement regarding Springside? measures the newspaper collected for each school, O Springside does not affect the correlation. mean class size and mean score on a statewide O Springside weakens the correlation shown in the scatterplot. reading exam, are shown in the scatterplot. One school in the report, Springside Elementary, is labeled in the graph. O Springside strengthens the correlation shown in the scatterplot. O Removing Springside would increase the value of the correlation coefficient. Comparing Schools 90 Springside 70 60 50 40 Save and Exit Next Submit Mark this and return ContentViewers/AssessmentViewer/Activity# ch hp Mean State Test ScoreMr. Ali runs a gift shop in the Defense area, Karachi. He advertises weekly in the local newspapers and is considering increasing his advertising budget. Before doing so, he decides to evaluate the past effectiveness of these advertisements. Five weeks are sampled, and the advertising expenses (in PKR) and sales volume for each is shown in the Table 2. What is correlation coefficient value. S.No. Sales (PKR 100) Advertising (PKR 100) 1.00 4.00 4.10 2.00 7.00 6.72 3.00 6.00 5.05 4.00 8.00 7.26 5.00 4.00 2.69
- Statistics QuestionBaseball owners believe that the more runs scored, the higher the attendance. Is there evidence that more fans attend games if the teams score more runs? Data collected midway through the season indicate a correlation of 0.848 between runs scored and the number of people at games. a) Does the scatterplot indicate that it's appropriate to calculate a correlation? Explain. O A. Yes, because the relationship between number of runs scored and attendance appears to be straight. O B. Yes, because the association between the number of runs scored and attendance is positive. 37500- OC. No, because there are too many outliers for a numerical correlation to be appropriate. 30000- O D. No, because the number of runs scored and attendance are not quantitative variables. b) Describe the association between attendance and runs scored. 22500- 320 360 400 440 480 O A. The association between attendance and runs scored is negative, straight, and moderate. Runs O B. The association between attendance…1. A professor is interested in how attendance is related to grades her class. She goes through her records and determines each student’s final average and the number of days absent. The scores for her sample are given in the table below. a. Construct a scatter plot of the relationship between final averages and the number of days absent. b. Is there a significant relationship between final averages and the number of days absent? Calculate and interpret the correlation and report it in proper APA format. c. Compute r2 for the data. What percent of the variability in final averages is accounted for by the number days absent?
- Thank you for your assistance and clarification. 1. Just to confirm, the population correlation does not differ significantly from zero - would that then mean there is no real difference between the groups in terms of academic achivement and sports participation? I need to state it in a non-statistical sentence. 2. Please could you provide a scatterplot for this data so I can make sure mine is correct. Thank you so much, really appreciate your help!The data in the table to the right are based on the results of a survey comparing the commute time of adults to their score on a well-being test. Complete parts (a) through (d) below. Click the icon to view the critical values for the correlation coefficient. Score 70+ r= 60- (a) Which variable is likely the explanatory variable and which is the response variable? A. The explanatory variable is commute time and the response variable is the well-being score because commute time affects the well-being score. B. The explanatory variable is commute time and the response variable is the well-being score because well-being score affects the commute time score. C. The explanatory variable is the well-being score and the response variable is commute time because commute time affects the well-being score. D. The explanatory variable is the well-being score and the response variable is commute time because well-being score affects the commute time. (b) Draw a scatter diagram of the data. Which…Is the correlation about 0.02, 0.22, or 0.92 with the outlier? Without this outlier, is the correlation about 0.18, 0.78, or 0.98? Is the outlier is an influential point to the correlation?
