how to find factors in numbers
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fgryyn49
Mathematics
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What numbers are factors in the numbers 1 thru 50
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Please also pay close attention to any additional specifications provided by your professor. Professors often will clarify ...
Project1 Instructions
Please also pay close attention to any additional specifications provided by your professor. Professors often will clarify their expectations ...
Deliverable 6 - Analysis with Correlation and Regression
CompetencyDetermine the linear correlation and regression equation between two variables to make predictions for the depen ...
Deliverable 6 - Analysis with Correlation and Regression
CompetencyDetermine the linear correlation and regression equation between two variables to make predictions for the dependent variable.Student Success CriteriaView the grading rubric for this deliverable by selecting the “This item is graded with a rubric” link, which is located in the Details & Information pane.ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.Concepts Being StudiedCorrelation and regressionCreating scatterplotsConstructing and interpreting a Hypothesis Test for Correlation using r as the test statisticYou are given a spreadsheet that contains the following information:Magnitude measured on the Richter scaleDepth in kmWhat to SubmitThe PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above.Slide 1: Title slide
Slide 2: Introduce your scenario and data set including the variables provided.
Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.
Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values.
Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.
Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.
Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.
Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario.Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.
Find all values of theta in the interval [0 degrees,360 degrees)that satisfy the equation.
The following three photos show the 3 problems i am stuck on. Find all values of (theta) in the interval [0 degrees,360 de ...
Find all values of theta in the interval [0 degrees,360 degrees)that satisfy the equation.
The following three photos show the 3 problems i am stuck on. Find all values of (theta) in the interval [0 degrees,360 degrees)that satisfy the equations. Use degree measure.
Write a 2- to 3-page analysis of your multiple regression using dummy variables results for each res
Using the attached information/data: Write a 2- to 3-page analysis of your multiple regression using dummy variables resul ...
Write a 2- to 3-page analysis of your multiple regression using dummy variables results for each res
Using the attached information/data: Write a 2- to 3-page analysis of your multiple regression using dummy variables results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.
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Most Popular Content
2 pages
Project1 Instructions
Please also pay close attention to any additional specifications provided by your professor. Professors often will clarify ...
Project1 Instructions
Please also pay close attention to any additional specifications provided by your professor. Professors often will clarify their expectations ...
Deliverable 6 - Analysis with Correlation and Regression
CompetencyDetermine the linear correlation and regression equation between two variables to make predictions for the depen ...
Deliverable 6 - Analysis with Correlation and Regression
CompetencyDetermine the linear correlation and regression equation between two variables to make predictions for the dependent variable.Student Success CriteriaView the grading rubric for this deliverable by selecting the “This item is graded with a rubric” link, which is located in the Details & Information pane.ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.Concepts Being StudiedCorrelation and regressionCreating scatterplotsConstructing and interpreting a Hypothesis Test for Correlation using r as the test statisticYou are given a spreadsheet that contains the following information:Magnitude measured on the Richter scaleDepth in kmWhat to SubmitThe PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above.Slide 1: Title slide
Slide 2: Introduce your scenario and data set including the variables provided.
Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.
Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values.
Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.
Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.
Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.
Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario.Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.
Find all values of theta in the interval [0 degrees,360 degrees)that satisfy the equation.
The following three photos show the 3 problems i am stuck on. Find all values of (theta) in the interval [0 degrees,360 de ...
Find all values of theta in the interval [0 degrees,360 degrees)that satisfy the equation.
The following three photos show the 3 problems i am stuck on. Find all values of (theta) in the interval [0 degrees,360 degrees)that satisfy the equations. Use degree measure.
Write a 2- to 3-page analysis of your multiple regression using dummy variables results for each res
Using the attached information/data: Write a 2- to 3-page analysis of your multiple regression using dummy variables resul ...
Write a 2- to 3-page analysis of your multiple regression using dummy variables results for each res
Using the attached information/data: Write a 2- to 3-page analysis of your multiple regression using dummy variables results for each research question. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.
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