To examine the linear correlation between adult age and weight, data was collected from 9 adults. See the table below. Age Weight (Years) (pounds) 25 217 26 202 28 226 39 200 41 128 43 157 46 225 54 186 56 152 Does this result suggest that the correlation is statistically significant? Use a = 0.10. Important Note: Round your value for r to three decimals before computing the STS. DO NOT use the built- in LinRegTTest on a calculator because you might get marked wrong. When computing the P-value, use the rounded STS. cor O Even if the correlation is found to be statistically significant, that does not necessarily mean that changes in x cause changes iny 1. Select the correct statement: O If the correlation is found to be statistically significant, that means that changes in x cause changes in y The hypotheses are: O Ho:p > 0; Ha:p < 0 - 0: Ha: e > 0

To examine the linear correlation between adult age and weight, data was collected from 9 adults. See the table below. Age Weight (Years) (pounds) 25 217 26 202 28 226 39 200 41 128 43 157 46 225 54 186 56 152 Does this result suggest that the correlation is statistically significant? Use a = 0.10. Important Note: Round your value for r to three decimals before computing the STS. DO NOT use the built- in LinRegTTest on a calculator because you might get marked wrong. When computing the P-value, use the rounded STS. cor O Even if the correlation is found to be statistically significant, that does not necessarily mean that changes in x cause changes iny 1. Select the correct statement: O If the correlation is found to be statistically significant, that means that changes in x cause changes in y The hypotheses are: O Ho:p > 0; Ha:p < 0 - 0: Ha: e > 0

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A pediatrician wants to determine the relation that may exist between a child's height and head circumference She randomly selects 8 children from her practice, measures their height and head circumference, and obtains the 27.5 data shown in the table. Complete parts (a) through (e) below. Click here to see the Table of Critical Values for Correlation Coefficient. Height (in.) Head Circumference (in.) O 17.4 25.75 26.75 25 17.1 17.1 16.9 27.5 17.5 26.75 17.2 17.1 25.75 26.75 17.3 (a) If the pediatrician wants to use height to predict head circumference, determine which variable is the explanatory variable and which is the response variable. Choose the corect answer below O The explanatory variable is head circumference and the response vanable is height O The explanatory variable is height and the response variable is head circumference (b) Draw a scatter diagram. Choose the correct graph below. O D. OA. B. Click to select your answer(s). VI 9:31 acer -> esc & backspace @ 2$ % 7 8 1 r…
Weight (lbs.) 173 184 194 214 168 220 188 188 207 167 217 Systolic Blood Pressure 132 143 153 162 154 168 137 149 159 128 1 1. The sample correlation coefficient is _____________
Which of the following tests is appropriate, if we want to determine the relationship between workout duration (minutes) and the distance (kilometers).A. Two-sample t-testB. Kendall correlationC. Pearson correlationD. Spearman correlation
You wish to determine if there is a positive 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 64 32 55 30 72 36 34 30 31 18 16 29 21 22 32 18 46 24 46 31 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 Do Not Reject Ho Reject Ho Accept Ho The conclusion is There is a significant linear correlation between driver age and number of driver deaths. There is a significant negative 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. There is…
The data below is how much money an ice cream store makes and what the max temperature was at that day. Test the claim that there is no correlation between the two. Use a significance of .05. Temperature Dollars made98 425686 523595 5125103 489662 358677 159743 158658 8465108 462592 156383 256775 523588 354891 756187 515684 845873 421582 652595 5846105 3548101 425686 625392 425645 651578 753261 548658 215388 465892 751181 625171 584864 546874 485691 458790 651582 712581 658493 782482 584891 6528
describe the table please in statistics terms
To examine the linear correlation between adult age and weight, data was collected from 9 adults. See the table below. Age Weight (Years) (pounds) 26 203 28 245 29 141 34 139 39 199 40 194 41 137 50 181 52 197 Does this result suggest that the correlation is statistically significant? Use a = 0.01. Important Note: Round your value for r to three decimals before computing the STS. DO NOT use the built- in LinRegTTest on a calculator because you might get marked wrong. When computing the P-value, use the rounded STS. 1. Select the correct statement: O f the correlation is found to be statistically significant, that means that changes in æ cause changes in y O Even if the correlation is found to be statistically significant, that does not necessarily mean that changes in æ cause changes in y
To examine the linear correlation between work experience and salary, data was collected from employees at a company. See the table below. Years of Salary Experience ($1000's) 4 42 5 46 51 12 50 14 50 15 54 17 56 21 64 22 58 Does this result suggest that the correlation is statistically significant? Use a = 0.10. Important Note: Round your value for r to three decimals before computing the STS. DO NOT use the built- in LinRegTTest on a calculator because you might get marked wrong. When computing the P-value, use the rounded STS. 1. Select the correct statement: O lf the correlation is found to be statistically significant, that means that changes in æ cause changes in y O Even if the correlation is found to be statistically significant, that does not necessarily mean that changes in x cause changes in y
Listed below are the 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 α=0.01. If everyone were to tip with the same percentage, what should be the value of r? Bill (dollars) 31.65 53.83 87.10 103.64 60.34 109.80 Tip (dollars) 3.74 5.76 14.73 16.86 7.44 20.73 1. The linear correlation coefficient is r= 2. What are the null and alternative hypotheses? 3. The test statistic is t= 4. The P-Value is P=
please answer this question.. my homework is due in and im so confused .. please help Data table X Jard position, Autopitc executive Neil Geism Sample Size, n Mean Factor, Upper Range, DA Lower Range, D3 A2 1.880 3.268 3 1.023 2.574 4. 0.729 2.282 0.577 2.115 0.483 2.004 0.419 1.924 0.076 8. 0.373 1.864 0.136 0.337 1.816 0.184 10 0.308 1.777 0.223 12 0.266 1.716 0.284 Refer to the table EaclorSOComouino Conrokch LmiKEama for this problem. Autopitch devices are made for both major- and minor-league teams to help them improve their batting averages. When set at the standard position, Autopitch can throw hardballs toward a batter at an average speed of 53 mph. To monitor these devices and to maintain the highest quality, Autopitch executive Neil Geismar takes samples of 9 devices at a time. The average range is 4 mph. a) Using this information, construct control limits for the x-chart. UCL,-mph (round your response to three decimal places). LCL, mph (round your response to three decimal…
please answer in text form and in proper format answer with must explanation , calculation for each part and steps clearly
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant negative linear correlation between advertising cost and profit . Use a significance level of 0.01 and round all values to 4 decimal places. Advertising Cost Profit 3 28 4 15 5 21 6 21 7 29 8 30 9 28 10 29 1. Find the p-value p-value = (4 decimal places) 2. The p-value is (pick one) a. Less than (or equal to) αα b. Greater than αα 3. The p-value leads to a decision to Reject Ho Accept Ho Do Not Reject Ho 4. the conclusion is There is a significant linear correlation between advertising expense and profit. There is a significant positive linear correlation between advertising expense and profit. There is a significant negative linear correlation between advertising expense and profit. There is insufficient evidence to make a conclusion about the linear correlation between…