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Options (1 edz Options (2 el 2) Simple linear regression results Arizona Population 1940-2020 Dependent Variable. AZ Population follor Independent Variable: Years after 1900 AZ Population in Millions AR Population (million) . .3:9157778 - 0.0901 Years after 1800 Sample size: 9 R (correlation coefficient) = 0.97896864 R-50 2 0 93837569 ERtimate of error standard deviation 0.54973962 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-value Intercept -3.9157718 0:53660751 20 7 6 5634068 0:0003 Slope 0:0901 9007097108 .0 7 12.695312 40.0001 Analysis of variance table for regression model: Source OF 55 MS F-stat P.value Model 1 48.76106 48 70806 167 17095 40.5391 Error 7 2.1154956 0.30221365 Total 8 50.823556 Years After 1900 Question #1: A scatter plot of the data is shown. Notice that years after 1900 are on the horizontal axis and population in millions is on the vertical axis. Describe the relationship between the two variables shown on the scatter plot (include pa and association) (3 points) Question #2: Identify the slope in your least squares regression line and describe what it represents (using appropriate uni points) Question #3: Look at the critical value table for a correlation coefficient and identify the value given for a sample of size 9. Compare the value from the table to the correlation coefficient computed in StatCrunch (1=.97897). Is a linear model a good this data set? Explain why or why not? (3 points) Question #4: Use your linear model to estimate the population in 1980 (80 years after 1900). Compare your estimate to the actual value in the table above. (3 points) Question #5: Use your linear model to estimate the population in 2040. Do you think this prediction is reasonable? Why or not? (3 points) MAT 167 WA 3Diss Image.pdf Search entries or author Unread Reply Replies are only visible to th