Answer the following problems. Apply the different steps in hypothesis testing.2. A used car depot wants to study the relationship between the age of a car and its sellingprice. Listed is a random sample of 9 cars sold at the depot during the last 3 months.`1Car2 3 4 58 10 67 8 95.5 4 2.5347Age (years)Selling Price (P000) 350 320 170 120 280 190 250 300 4006Determine the coefficient of correlation using spearman rank correlation and test thesignificance at 0.01.

Given data: Car Age Selling Price 1 3 350 2 4 320 3 8 170 4 10 120 5 6 280 6 7 190…

Answered: 2. A used car depot wants to study 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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The weight (in pounds) and height (in inches) for a child were measured every few months over a two-year period. The results are given in the table. Using technology, what is the correlation coefficient? O -0.997 O -0.503 Welght () 12 18 24 30 32 35 37 40 O 0.503 O 0.997 Height ty) 22 23 26 30 32 33 35 36 30 Mark this and retum Save and Exit Next Submit % 7 8. 9. y
Given the data in the image, what would the correlation coefficients be with and without the outlier? Would the inclusion of the outlier change the evidence for or against a significant linear correlation?
I keep messing up my P values
Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights Correlation Results of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of a = 0.05. Correlation coeff, r: 0.969467 Critical r: +0.2680855 P-value (two tailed): 0.000 ..... Determine the null and alternative hypotheses. Ho: P (Type integers or decimals. Do not round.) Identify the correlation coefficient, r. r= (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) A. There are two critical values at r= + В. There is one critical value at r= Is there sufficient evidence to support the…
lasroom I Newsela | Join A CL.. Play Kahoot! E Google Docs - crea... Lh SEPUP Cell Simulati. OFUINCTIONS AND LINES Identifying correlation and causation Answer uestions below. (a) A financial magazine conducted a survey. It showed that a person with more years of education tends to have a higher salary. What is likely true? OThere is no correlation between years of education and salary. O There is a correlation between years of education and salary. There may or may not be causation. Further studies would have to be done to determine this. O There is a correlation between years of education and salary. There is probably also causation. This is because there is an increase in salary with an increase in the years of education. (b) A grocery store collected sales data. It found that a change in price does not imply that people will buy more or less milk. What can we determine from this information? O There is no correlation between price and amount of milk bought. O There is a correlation…
The accompanying table shows the ages (in years) of 11 children and the numbers of words in their vocabu Click here to view the data table. Click here to view the table of critical values for the Pearson correlation cd Data Table O A. OB. Age, x Vocabulary size, y 1 7 84 3000- 을 2400: 1800- 1200 3000- 2400- 1800- 1200- 600- 2 210 6- Q 3 570 4- 4 1100 2- 600- 2200 0- 2600 1500 ó 2 4 6 8 Age (years) 3000 Age (years) 3 550 2100 (b) Calculate the sample correlation coefficient r. 270 4 1200 6 2500 (Round to three decimal places as needed.) Print Done Help Me Solve This View an Example Get More Help - heck 'ocabulary size Vocabulary size Vocabulary size
The following table compares the completion percentage and interception percentage of 5 NFL quarterbacks. Completion Percentage 55.5 57.5 59 59.5 60 Interception Percentage 4 3 2.5 2 1 Step 1, Determine if r is statistically significant at the 0.01, 0.05 level... yes or no? Step 2, Calculate the correlation coefficient, r. Round 6 decimal places. Step 3, Calculate the coefficient of determination, r^2. Round 3 decimal places.
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
where not met in 200 iterations Show Intro/Instructions 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 0.01 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 43 34 57 23 32 36 43 26 30 30 19 36 35 32 60 20 53 28 Ho: p = 0 Ha: p 0 Find the Linear Correlation Coefficient Find the p-value p-value = The p-value is O Greater than a O Less than (or equal to) a The p-value leads to a decision to ODo Not Reject Ho O Accept Ho OReject Ho The conclusion is O There is a significant negative linear correlation between driver age and number of driver deaths. O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation between driver age and number of…
Is there sufficient evidence or not to conclude that there is a linear correlation between brain volume and IQ score in males ?
6. Police sometimes measure shoe prints at crime scenes so that they can learn something about criminals. Listed below are shoe print lengths, foot lengths, and heights of males. 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. Based on these results, does it appear that police can use a shoe print length to estimate the height of a male? Use a significance level of = 0.05. 29.6 29.6 32.1 32.4 28.1 Shoe Print (cm) Foot Length (cm) Height (cm) 24.7 24.6 26.8 25.6 25.0 175.8 173.2 182.6 177.3 171.3 The test statistic is t = (Round to two decimal places as needed.) The P-value is (Round to three decimal places as needed.) Because the P-value of the linear correlation coefficient is (3)- the significance level, there (4) heights of males. sufficient evidence to support the claim that there is a linear correlation…
A data set contains information on the grams of fat and number of calories in 24 different fast foods. The correlation coefficient between fat content and calories is determined to be -0.63. Calculate the p-value for the test of significance.

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