Consider the following Year Population (in millions) 1790 1800 1810 1820 1830 1840 1850 1860 1870...
(a) Census data for the United States between 1790 and 1950 are given in the table above. Construct a logistic population model using the data from 1790, 1840, and 1910. (Assume that t is years since 1790 and P is population in millions. Round all coefficients to four decimal places.) P(t) = (b) Construct a table comparing actual census population with the population predicted by the model in part (a). Compute the error and the percentage error for each entry...
Using the U.S. census data in Table 3.1 for 1900, 1920, and 1940 to determine parameters in the logistic equa- tion model, what populations does the model predict for 2000 and 2010? Compare your answers with the census data for those years. Comparison of the Malthusian and Logistic Models with U.S. Census Data (Population is given in Millions) TABLE 3.1 Logistic Least Squares) Malthusian Year .S. Census (Example 3) (Example 4) p di 403 3.93 1790 5.42 0.0312 5.31 1800...
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1. What is the correlation between the selling price and square footage (three decimal places)? 2. What is the intercept for the regression line predicting selling price from square footage (no decimal places)?Selling_Price = Intercept + Slope * Square_Footage 3. What is the slope for the regression line predicting selling price from square footage (three decimal places)?Selling_Price = Intercept + Slope * Square_Footage 4. What is the predicted selling price for a 2400 square foot house (no decimal places)?Selling_Price =...