Based on the data shown below, calculate the regression line (each value to at least two decimal places) y = y 25.87 24.06 4 22.45 21.84 22.93 7 22.12 18.41 19.9
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- 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?The following fictitious table shows kryptonite price, in dollar per gram, t years after 2006. t= Years since 2006 0 1 2 3 4 5 6 7 8 9 10 K= Price 56 51 50 55 58 52 45 43 44 48 51 Make a quartic model of these data. Round the regression parameters to two decimal places.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 1.06
- 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 two decimal places) Find "( )" y = ( ) x + ( )Based on the results of the regression, what would be the mose likely conclusion?
- 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 2.9Suppose 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 at least two decimal places)y = ____ x + _____ x y 5 35.7 6 32.15 7 28.6 8 28.65 9 26.9 10 21.75 11 21.3 12 16.15 13 13.1 14 12.65 15 8.6 (2 Part Answer)
- Use quartic regression to model the following data set. (Round your regression parameters to two decimal places.) y =_______ x 1 3 4 6 7 8 10 y 1 2 5 2 1 5 7which of the following regressions represents the strongest negative linear relationship between x and y? (Attached in picture provided)A sample of X and Y scores is taken, and a regression line is used to predict Y from X. If SSY' = 300, SSE = 500, and N = 50, what is(a) SSY?(b) the standard error of the estimate?(c) R2?