To examine the linear correlation between work experience and salary, data was collected from employeesat a company. See the table below.Years ofSalaryExperience...


Question 18<br><><br>To examine the linear correlation between work experience and salary, data was collected from employees<br>at a company. See the table below.<br>Years of<br>Salary<br>Experience ($1000's)<br>1<br>37<br>3<br>39<br>6<br>48<br>7<br>45<br>51<br>13<br>52<br>20<br>58<br>21<br>57<br>24<br>62<br>Does this result suggest that the correlation is statistically significant? Use a = 0.05.<br>Important Note: Round your value for r to three decimals before computing the STS. DO NOT use the built-<br>in LinRegTTest on a calculator because you might get marked wrong. When computing the P-value, use the<br>rounded STS.<br>1. Select the correct statement:<br>O If the correlation is found to be statistically significant, that means that changes in x cause changes<br>in y<br>O Even if the correlation is found to be statistically significant, that does not necessarily mean that<br>changes in x cause changes in y<br>The hypotheses are:<br>O Ho:p 2 0; Ha:p < 0<br>O Ho:r 2 0; Ha:r < 0<br>Ο Ho:ρ= 0; Ha: ρ 40<br>O Ho:r < 0; Ha:r > 0<br>O Ho:p < 0; Ha:p > 0<br>MacBook Air<br>80 3<br>F2<br>D00<br>F4<br>F5<br>F6<br>F8<br>F9<br>

Extracted text: Question 18 <> 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) 1 37 3 39 6 48 7 45 51 13 52 20 58 21 57 24 62 Does this result suggest that the correlation is statistically significant? Use a = 0.05. 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 If the correlation is found to be statistically significant, that means that changes in x 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 The hypotheses are: O Ho:p 2 0; Ha:p < 0="" o="" ho:r="" 2="" 0;="" ha:r="">< 0="" ο="" ho:ρ="0;" ha:="" ρ="" 40="" o="" ho:r="">< 0;="" ha:r=""> 0 O Ho:p < 0;="" ha:p=""> 0 MacBook Air 80 3 F2 D00 F4 F5 F6 F8 F9
The hypotheses are:<br>O Ho:p > 0; Ha:p < 0<br>O Ho:r > 0; Ha:r < 0<br>O Ho:p = 0; Ha:p #0<br>O Ho:r < 0; Ha:r > 0<br>O Ho:p < 0; Ha:p > 0<br>O Ho:r = 0; Ha:r 0<br>2. This is a OrightO twoO left tailed test and the distribution used is<br>OT<br>Oz<br>The Degrees of Freedom are<br>09<br>07<br>ON/A; this is a Z-test<br>3. The STS (round to 3 decimals) is:<br>The P-value (round to 4 decimals) is:<br>4. The decision at a = 0.05 is:<br>O Do not reject Ho since P > a<br>O Reject Ho since P < a<br>O Reject Ho since P> a<br>O Do not reject Ho since P < a<br>MacBook Air<br>

Extracted text: The hypotheses are: O Ho:p > 0; Ha:p < 0="" o="" ho:r=""> 0; Ha:r < 0="" o="" ho:p="0;" ha:p="" #0="" o="" ho:r="">< 0;="" ha:r=""> 0 O Ho:p < 0;="" ha:p=""> 0 O Ho:r = 0; Ha:r 0 2. This is a OrightO twoO left tailed test and the distribution used is OT Oz The Degrees of Freedom are 09 07 ON/A; this is a Z-test 3. The STS (round to 3 decimals) is: The P-value (round to 4 decimals) is: 4. The decision at a = 0.05 is: O Do not reject Ho since P > a O Reject Ho since P < a="" o="" reject="" ho="" since="" p=""> a O Do not reject Ho since P < a macbook air a="" macbook="">
Jun 03, 2022
SOLUTION.PDF

Get Answer To This Question

Related Questions & Answers

More Questions »

Submit New Assignment

Copy and Paste Your Assignment Here