Based on the data shown below, calculate the regression line (each value to at least two decimal places) y = 17.96 19.25 6 22.14 7 26.73 8 26.42 29.71
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A: Given data, X Y X*Y X*X 1 6.96 6.96 1 2 5.42 10.84 4 3 3.88 11.64 9 4 7.44 29.76 16 5…
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Q: Based on the data shown below, calculate the regression line (each value to two decimal places) y =…
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- Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4For the following exercises, consider the data in Table 5, which shows the percent of unemployed in a city ofpeople25 years or older who are college graduates is given below, by year. 41. Based on the set of data given in Table 7, calculatethe regression line using a calculator or othertechnology tool, and determine the correlationcoefficient to three decimal places.For the following exercises, consider the data in Table 5, which shows the percent of unemployed ina city of people 25 years or older who are college graduates is given below, by year. 40. Based on the set of data given in Table 6, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient to three decimal places.
- Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to 2012. a. Let x represent time in years starting with x=0 for the year 1997. Let y represent the number of seals in thousands. Use logistic regression to fit a model to these data. b. Use the model to predict the seal population for the year 2020. c. To the nearest whole number, what is the limiting value of this model?For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or older who are college graduates in a particular city, by year. Determine whether the trend appears linear. If so, and assuming the trend continues, find a linear regression model to predict the percent of unemployed in a given year to three decimal places.BASED ON THIS DATA, what does the r^2 values tell you? and the linear regression line is the information statistically significant?
- Based on the data shown below, calculate the regression line (each value to at least two decimal places)y = ____x + ______ x y 1 0.21 2 0.62 3 4.13 4 2.24 5 4.25 6 1.06Suppose you obtain the following regression model, E[y]=67+75*x. What is the impact of a 92 unit change of x on the expected value of y?Based on the data shown below, calculate the regression line (each value to two decimal places) Find "( )" y = ( ) x + ( )
- Based on the data shown below, calculate the regression line (each value to two decimal places)y = x + x y 5 16.8 6 12.4 7 10.3 8 9.9 9 5.6 10 6.2 11 2.9Based on the data given, estimate the following regressions:Suppose you obtain the following regression model, E[y]=91+79*x1 +20*x1*x2. What is the impact of a 39 unit change of x1 on the expected value of y when x2 is at its mean of 40?