Description of the data set is provided in page 161 (problem 12 in chapter 8). Dataset “EX0812.txt” is posted. (Note: If you use infile and input statement to read in data, put “$” after the variable sex to indicate that the values are characters. E.g. input id x1 x2 y clrzne sex $ ;) Fit the regression model of Y (change in refraction error) on X1, sex and X1*sex. Write down the fitted regression model.Based on the fitted model in (a), write down the regression models of Y on X1 for males and females separately. What is the difference of intercepts in these two models? What is the difference of slopes in these two models? Which do they correspond to the estimated coefficient in model (a), respectively?Test whether the straight lines for males and females coincide (i.e., are the same) with alpha=0.1. State your null hypothesis in terms of the coefficients. Provide you SAS code and output for conducting the analysis. Figure out your F value and p value based on output, and then draw a conclusion.Test whether the straight lines for males and females are parallel with alpha=0.1. State your null hypothesis in terms of the coefficients. Provide you SAS code and output for conducting the analysis. Figure out your F value and p value based on output, and then draw a conclusion.Based on your answers to questions (c) and (d), comment on differences and similarities in the change in refraction-baseline refractive error relationship for males and females.

Have you ever worked in a management or leadership position and experienced situations in which employees were not meeting your performance expectations? Or, perhaps you worked under a manager who continually blamed problems of production, output, or sales on you and your colleagues. An important takeaway from the red bead experiment is to consider instances such as these and question whether the fault lies with the employees or with something else, such as management’s decisions or the system that is put in place. As you discuss the red bead experiment, consider how you might be able to relate the lessons learned to your own experiences.In this Discussion, you will examine the red bead experiment and discuss the success of its implementation, as well as how the concepts derived from it can be applied to other aspects of the workplace.Post a 225- to 300-word (3- to 4-paragraph) explanation of how successful the Red Bead experiment was and how an example of the experiment in the workplace can be fixed. In your explanation, address the following:Explain your thoughts on the working climate at the White Bead Company. Describe what the advantages and disadvantages of the inspection system are. Were the strategies that management tried successful in improving workers’ performance? Explain why or why not. Provide an example of a situation similar to the Red Bead experiment that you have experienced in the workplace or have heard someone else describe. Explain how you might improve it. To support your response, be sure to reference at least one properly cited scholarly source.

Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 1 1 pts Edit this QuestionDelete this Question0file_upload_question <p>Use Excel or another software to draw the scatter plot for the variables. You can either upload the file or copy the scatterplot into the text box for your answer.</p> <p>The director of an alumni association for a small college wants to determine whether there is any type of relationship between the amount of an alumnus's contribution (in dollars) and the years the alumnus has been out of school. The data follow. </p> <table border="0"> <tbody> <tr> <td>Years <em>x</em> </td> <td>1</td> <td>5</td> <td>3</td> <td>10</td> <td>7</td> <td>6</td> </tr> <tr> <td>Contribution <em>y</em> </td> <td>500</td> <td>100</td> <td>300</td> <td>50</td> <td>75</td> <td>80</td> </tr> </tbody> </table> Use Excel or another software to draw the scatter plot for the variables. You can either upload the file or copy the scatterplot into the text box for your answer.The director of an alumni association for a small college wants to determine whether there is any type of relationship between the amount of an alumnus's contribution (in dollars) and the years the alumnus has been out of school. The data follow. Years x 1531076Contribution y 500100300507580 Upload Choose a File Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 2 1 pts Edit this QuestionDelete this Question0numerical_question <p style="background-color: transparent; color: #2d3b45; font-family: sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; margin: 12px 0px 12px 0px;">Compute the correlation coefficient between hourly wage and years of service. Rounded to the nearest thousandths. Compare it to the answer of a previous question.</p> <table style="background-color: transparent; color: #2d3b45; font-family: sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; border: 1px dashed #888888;"> <tbody style="background-color: transparent; color: #2d3b45; font-family: sans-serif; font-size: 16px; font-weight: 400; height: auto; line-height: 24px; min-height: 0px; margin: 0px;"> <tr style="height: 20px;"> <td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">years of service x</td> <td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">0.5</td> <td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">1</td> <td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">1.75</td> <td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">2.5</td> <td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">3.0</td> </tr> <tr style="height: 20px;"> <td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">hourly wage y</td> <td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">9.51</td> <td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">8.23</td> <td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">10.95</td> <td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">12.70</td> <td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">12.75</td> </tr> </tbody> </table> <p> </p> Compute the correlation coefficient between hourly wage and years of service. Rounded to the nearest thousandths. Compare it to the answer of a previous question.years of service x0.511.752.53.0hourly wage y9.518.2310.9512.7012.75Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 3 1 pts Edit this QuestionDelete this Question0multiple_dropdowns_question <img src="https://upload.wikimedia.org/wikipedia/commons/thumb/a/af/Scatter_diagram_for_quality_characteristic_XXX.svg/1200px-Scatter_diagram_for_quality_characteristic_XXX.svg.png"><br>Based on the scatterplot above, the correlation between process input and quality characteristic is [ Select ] ["negatie", "positive", "there is no correlation"] Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 4 1 pts Edit this QuestionDelete this Question0multiple_dropdowns_question <img src="http://www.conceptdraw.com/solution-park/resource/images/solutions/scatter-diagrams/Graphs-and-Charts-Scatter-Diagrams-Linear-Regression.png"><br>Based on the scatterplot above, the correlation between in-lab crack reading and in-field crack reading is [ Select ] ["positive", "negative", "there is no correlation"] Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 5 1 pts Edit this QuestionDelete this Question0numerical_question <img src="http://science-fair-coach.com/wp-content/uploads/2011/12/Slide6.jpg"><br>What is the value of variable 2 if variable 1 is equal 8?Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 6 1 pts Edit this QuestionDelete this Question0multiple_dropdowns_question <p>Correlation coefficient between the left and right foot was computed and it was found to be 0.896.</p> <p>If a patient's left foot is cooler than the average, then the patient's right foot is expected to be <select class='question_input' name='question_40020995_53abc86406e2e287d275854673e2d89d'> <option value=''> [ Select ] </option> ["<option value='91822'>cooler</option>", "<option value='83759'>warmer</option>"] </select> than average.</p> Correlation coefficient between the left and right foot was computed and it was found to be 0.896.If a patient's left foot is cooler than the average, then the patient's right foot is expected to be [ Select ] ["cooler", "warmer"] than average.Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 7 1 pts Edit this QuestionDelete this Question0numerical_question <p>On Canvas, in session about Correlation and Regression you can find the file "How to test for correlation". Use the data below to evaluate test statistic described there. Round your answer to the nearest thousandths.</p> <p>cost of pizza 0.15 0.35 1.00 1.25 1.75 2.00</p> <p>subway fare 0.15 0.35 1.00 1.35 1.50 2.00</p> On Canvas, in session about Correlation and Regression you can find the file "How to test for correlation". Use the data below to evaluate test statistic described there. Round your answer to the nearest thousandths.cost of pizza 0.15 0.35 1.00 1.25 1.75 2.00subway fare 0.15 0.35 1.00 1.35 1.50 2.00Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 8 1 pts Edit this QuestionDelete this Question0multiple_choice_question <p>Using the test describe in "How to test for correlation" (see question above), test the null hypothesis if n=12, t=3.1, <img class="equation_image" title="\alpha=0.01" src="/equation_images/%255Calpha%253D0.01" alt="LaTeX: \alpha=0.01" data-equation-content="\alpha=0.01"> Choose the right conclusion.</p> <p>a) T<span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;">here is not enough evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor </span><em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">x</em><span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;"> and response </span><em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">y</em><span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;">.</span></p> <p><span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;">b) there is sufficient evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor <em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">x</em> and response <em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">y</em></span></p> <p>c) there is not enough data to draw any conclusion<span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;"></span></p> Using the test describe in "How to test for correlation" (see question above), test the null hypothesis if n=12, t=3.1, α = 0.01 Choose the right conclusion.a) There is not enough evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor x and response y.b) there is sufficient evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor x and response yc) there is not enough data to draw any conclusion a b c Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 9 1 pts Edit this QuestionDelete this Question0multiple_choice_question <p style="background-color: transparent; color: #2d3b45; font-family: sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; margin: 12px 0px 12px 0px;">Using the test describe in "How to test for correlation" (see question above), test the null hypothesis if n=12, t=3.3, <img class="equation_image" style="height: 16px; max-width: 435.52px; vertical-align: middle; border: 0px none #2d3b45;" title="\alpha=0.01" src="/equation_images/%255Calpha%253D0.01" alt="LaTeX: \alpha=0.01" data-equation-content="\alpha=0.01"> Choose the right conclusion.</p> <p style="background-color: transparent; color: #2d3b45; font-family: sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; margin: 12px 0px 12px 0px;">a) T<span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;">here is not enough evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor </span><em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">x</em><span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;"> and response </span><em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">y</em><span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;">.</span></p> <p style="background-color: transparent; color: #2d3b45; font-family: sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; margin: 12px 0px 12px 0px;"><span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;">b) there is sufficient evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor <em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">x</em> and response <em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">y</em></span></p> <p style="background-color: transparent; color: #2d3b45; font-family: sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; margin: 12px 0px 12px 0px;">c) there is not enough data to draw any conclusion</p> Using the test describe in "How to test for correlation" (see question above), test the null hypothesis if n=12, t=3.3, α = 0.01 Choose the right conclusion.a) There is not enough evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor x and response y.b) there is sufficient evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor x and response yc) there is not enough data to draw any conclusion b a c Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 10 1 pts Edit this QuestionDelete this Question0multiple_dropdowns_question If all data points on its scatter plot are on one line, then the correlation coefficient is equal <select class='question_input' name='question_40020999_5a3641d237e60d3404067d9fcf811ff2'> <option value=''> [ Select ] </option> ["<option value='72553'>1 or -1</option>", "<option value='10454'>1</option>", "<option value='83615'>-1</option>", "<option value='40051'>0</option>", "<option value='50357'>not possible to tell</option>", "<option value='60008'>0.5</option>", "<option value='93076'>-0.5</option>", "<option value='55403'>4</option>"] </select> If all data points on its scatter plot are on one line, then the correlation coefficient is equal [ Select ] ["1 or -1", "1", "-1", "0", "not possible to tell", "0.5", "-0.5", "4"] Question 11 1 pts <p>The following are data with the correlation coefficient equal negative one (-1). Find the missing entry in the data.</p> <p>x 4 5 6</p> <p>y -8 -10 ?</p> The following are data with the correlation coefficient equal negative one (-1). Find the missing entry in the data.x 4 5 6y -8 -10 ?Question 12 1 pts <p>Is the following conclusion drawn after finding that there is a significant correlation between annual personal income and years of education true?</p> <p>Conclusion: More education causes a person's income to rise.</p> Is the following conclusion drawn after finding that there is a significant correlation between annual personal income and years of education true?Conclusion: More education causes a person's income to rise. The conclusion cannot be drawn because correlation does not necessary implies causality. The conclusion is correct since the correlation is significant. The conclusion is incorrect; Instead we should conclude that annual personal income increases more years of education.