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sinx = d/f
cosx = e/f
tanx = d/e
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Using the attached data ("Car Weight and MPG.sav"), compute and interpret the relationship between:Car Weight (“Weight� ...
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Using the attached data ("Car Weight and MPG.sav"), compute and interpret the relationship between:Car Weight (“Weight”) and miles per gallon consumed (“CityMPG”)For this regression analysis, state the following:A clear research question appropriate for a linear regression: (e.g., Is X a significant predictor of Y?")Null and research hypotheses that align clearly and neatly with your RQ.Description of the variables used.Your dependent and independent variables. (Clearly explain your rationale as to why which is which.)State the sample size, along with the mean, standard deviation, and range (min & max) for each variable, in a paragraph format. (Do not just include a table, and not talk about it.)State the rationale for applying regression analysis in this investigation using appropriate readings and resources in Module 5. (Please cite specific references.)Findings in an APA format. (This includes the wording of the finding and the tables/figures included.)Use the following link to provide the template: https://www.slideshare.net/plummer48/reporting-a-single-linear-regression-in-apaAlso add a clear interpretation of the R-square value in your finding. See last page: https://www.sheffield.ac.uk/polopoly_fs/1.531434!/file/MASH_simple_linear_regression_SPSS.pdfNote: Even if the p-value in the SPSS output shows ".000," write it out as "p < .001."Write out your regression equation, and state the predicted miles per gallon for cars that weighs 3,000 and 4,000 pounds. (Clearly show the calculations and steps involved.)Include the SPSS output in your appendix.Car Weight and MPG.sav
Strayer University Week 7 Lazer Company Hypothesis Testing Discussion
WEEK 7 ACTIVITY - HYPOTHESIS TESTINGDUE NOVEMBER 22, 2021
Hypothesis Testing
The Lazer Company has a contract to produce a ...
Strayer University Week 7 Lazer Company Hypothesis Testing Discussion
WEEK 7 ACTIVITY - HYPOTHESIS TESTINGDUE NOVEMBER 22, 2021
Hypothesis Testing
The Lazer Company has a contract to produce a part for Boeing Corporation that must have an average diameter of 6 inches and a standard deviation of 0.10 inch. The Lazer Company has developed a process that will meet the specifications with respect to the standard deviation, but it is still trying to meet the mean specifications. A test run (considered a random sample) of parts was produced, and the company wishes to determine whether this latest process that produced the sample will produce parts meeting the requirement of an average diameter equal to 6 inches.
Use Excel to:
Construct the appropriate null and alternative hypotheses with correct parameters.
Develop the decision rule assuming that the sample size is 200 parts and the significance level is 0.01.
In a Word document:
Recommend what the Lazer Company should conclude if the sample mean diameter for the 200 parts is 6.03 inches.
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Most Popular Content
5 pages
F18 Signature Assignment Final
The purpose of the assignment is to give you experience critically examining a peer-reviewed journal article. This critiqu ...
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Using the attached data ("Car Weight and MPG.sav"), compute and interpret the relationship between:Car Weight (“Weight� ...
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Using the attached data ("Car Weight and MPG.sav"), compute and interpret the relationship between:Car Weight (“Weight”) and miles per gallon consumed (“CityMPG”)For this regression analysis, state the following:A clear research question appropriate for a linear regression: (e.g., Is X a significant predictor of Y?")Null and research hypotheses that align clearly and neatly with your RQ.Description of the variables used.Your dependent and independent variables. (Clearly explain your rationale as to why which is which.)State the sample size, along with the mean, standard deviation, and range (min & max) for each variable, in a paragraph format. (Do not just include a table, and not talk about it.)State the rationale for applying regression analysis in this investigation using appropriate readings and resources in Module 5. (Please cite specific references.)Findings in an APA format. (This includes the wording of the finding and the tables/figures included.)Use the following link to provide the template: https://www.slideshare.net/plummer48/reporting-a-single-linear-regression-in-apaAlso add a clear interpretation of the R-square value in your finding. See last page: https://www.sheffield.ac.uk/polopoly_fs/1.531434!/file/MASH_simple_linear_regression_SPSS.pdfNote: Even if the p-value in the SPSS output shows ".000," write it out as "p < .001."Write out your regression equation, and state the predicted miles per gallon for cars that weighs 3,000 and 4,000 pounds. (Clearly show the calculations and steps involved.)Include the SPSS output in your appendix.Car Weight and MPG.sav
Strayer University Week 7 Lazer Company Hypothesis Testing Discussion
WEEK 7 ACTIVITY - HYPOTHESIS TESTINGDUE NOVEMBER 22, 2021
Hypothesis Testing
The Lazer Company has a contract to produce a ...
Strayer University Week 7 Lazer Company Hypothesis Testing Discussion
WEEK 7 ACTIVITY - HYPOTHESIS TESTINGDUE NOVEMBER 22, 2021
Hypothesis Testing
The Lazer Company has a contract to produce a part for Boeing Corporation that must have an average diameter of 6 inches and a standard deviation of 0.10 inch. The Lazer Company has developed a process that will meet the specifications with respect to the standard deviation, but it is still trying to meet the mean specifications. A test run (considered a random sample) of parts was produced, and the company wishes to determine whether this latest process that produced the sample will produce parts meeting the requirement of an average diameter equal to 6 inches.
Use Excel to:
Construct the appropriate null and alternative hypotheses with correct parameters.
Develop the decision rule assuming that the sample size is 200 parts and the significance level is 0.01.
In a Word document:
Recommend what the Lazer Company should conclude if the sample mean diameter for the 200 parts is 6.03 inches.
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