Hi, i was wondering if you could walk me through a tough inferential statistic problem. the instruction is to Determine and interpret the linear correlation coefficient, and use linear regression to find a best fit line for a scatter plot of the data and make predictions

Here is the link chrome-extension://bpmcpldpdmajfigpchkicefoigmkfalc/views/app.html

and here are the questions:

• 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 coefficientrand the critical value ofrusing = 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.

Thank you!