At the .05 significance level, does the data below show significant correlation?Xy16.0521.121.3521725.05835.8935.251027.91141.95121339.551442.41541.851653.1O Yes, significant correlationNo3456

1. The correlation coefficient is 0.9376 using the Excel formula “=CORREL(F1:F14,G1:G14)” 2) The…

Answered: At the .05 significance level, does the…

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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4. In a diving competition, the scores of two referees caused controversy. The table below s hows their scores for the players. Try to do Spearman correlation analysis. (10) Athletes 1 2 4 7 8 9. 10 11 12 Referee A 8.3 11.6 9.6 10.6 12 11 11.2 10.5 10.3 11.3 9.8 Referee B 9.8 10.9 10.6 11.6 10.8 10.1 11.9 10.4 11.6 11 10.7 9.6
interpret this results by testing each correlation hypothesis.
Interpret and discuss the results for each table, given ? = ?. ??
Use the Pearson r correlation table to answer questions about the relations between table variables (symbols: * p < .05, ** p < .01, *** p < .001). variable contacts demeanor preparation contacts 1 -0.139 -0.004 demeanor -0.139 1 0.886*** preparation -0.004 0.886*** 1
Note that this uses minitab. Make a scatterplot that will enable you to predict BBAC from number of beers consumed. What is the correlation coefficient?
Interpret the following output from a survey asking employees to indicate how many accidents they experienced at work (reported accidents), whether their supervisors enforce safety regulations (enforce), and how much their organization emphasized safety (safclim). Select all that apply. Correlations # Reported Accidents Pearson Correlation Sig. (2-tailed) N enforce Pearson Correlation Sig. (2-tailed) N safclim # Reported Accidents Pearson Correlation Sig. (2-tailed) N **. Correlation is significant at the 0.01 level (2-tailed). 1.000 123.000 .033 .716 121 -.064 .487 122 enforce .033 .716 121 1.000 safclim -.064 .487 122 .528** .000 126 1.000 126.000 .528** .000 126 127.000 This shows that there is a significant correlation between accidents at work and how much the organization emphasizes safety This shows that there is a positive correlation between the amount of supervisors enforce safety regulations and how much the organization emphasized safety There is a large effect size for…
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?
Listed below are amounts of bills for dinner and the amounts of the tips that were left. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of a = 0.01. If everyone were to tip with the same percentage, what should be the value of r? Bill (dollars) Tip (dollars) 31.80 52.94 85.82 102.16 60.17 111.77 D 5.46 6.07 15.82 15.40 11.15 20.32 Construct a scatterplot. Choose the correct graph below. O A. O B. Oc. D. Q 25- 25- 25 0- 30 0- 30 Bill Amount ($) 0+ 30 Bill Amount (S) 0- 30 Bill Amount (S) 120 120 120 Bill Amount (S) 120 The linear correlation coefficient is r= 0.954 (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho: p H,: P (Type integers or decimals. Do not round.) Tip Amount ($) ip Amount ($) Tip Amount ($) Tip Amount ($)
The following table lists democrats spending thousands of dollars by statewide office and the percentage of the popular vote they received in their districts Spending:11.5 | 51.1 | 17.9| 4.9| 12.9 | 20.5 | 76.4 Percent:33.4 | 12.8 | 61.2 | 50.2 | 78.1 | 14.1 |49.9 does a sting linear correlation exist between democratic spending and a % of voters received, if so how and answer a. Find a regression model ax+b for percentage of votes received as a function of democratic spending b. If a democratic politician spent $60,000 on a campaign, what % of the vote should be expected to receive? Is it interpolation or extrapolation, why? c. If a democrat received a quarter of the votes, what would you expect the democrat to have spent?
Help please
3
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.

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At the .05 significance level, does the data below show significant correlation? X y 16.05 4 21.1 5 21.35 6 21 7 25.05 8 35.8 9 35.25 10 27.9 41.95 12 41 13 39.55 14 42.4 15 41.85 16 53.1 O Yes, significant correlation No 3