The table gives the population in millions. Give an explanation of the evidence that the growth is essentially exponential.| Date | Pop ||------|------|| 1880 | 50.2 || 1890 | 62.9 || 1900 | 76.0 || 1910 | 92.0 || 1920 | 105.7 || 1930 | 122.8 || 1940 | 131.7 || 1950 | 151.3 || 1960 | 179.3 || 1970 | 203.3 || 1980 | 226.5 || 1990 | 248.7 || 2000 | 281.4 |1. Discuss the evidence that supports the exponential nature of population growth by analyzing the increase in population over time, where each decade shows a larger increase than the previous one, consistent with exponential growth trends.2. Find a regression formula for the data: Compute the regression formula that best fits this set of population data to model the exponential growth, likely involving an exponential function.

DatePop.188050.2189062.91900761910921920105.71930122.81940131.71950151.31960179.31970203.31980226.51…

Answered: 1 The table gives the population in…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The CDC released the following table of life expectancies for Americans from 1900-2010. Year 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010 Life Expectancy 47.3 50.0 54.1 59.7 62.9 68.2 69.7 70.8 73.7 75.4 76.8 78.7 It is believed that there is a logarithmic relation between life expectancy and the year. Transform the data correctly to perform a linear least squares regression, then report your model as y=mlnx+by=mln⁡x+b. Estimate the year when life expectancy should be 82.
Which of the following variables could be the dependent variable in a Logistic Regression? BMI Survival (yes or no) Grade in School All of the above
A motorcycle person notice trend in the price of a part he wants to buy from a store. X values = month of 2020. (x=1 would be Jan 2020. Please answer a-e
10. This small dataset reports the Average Class Size, Combined SAT score, and the pct of the class that Attends 4 Year Colleges. Estimate a regression to answer the following. Each additional student's increase in avg class size is associated with a _____________ increase in the attendance rate in 4 year colleges. Round your answer to two decimal places. District AverageClass Size CombinedSAT Score % Attend4-Year College Blue Springs, MO 25 1083 74 Garden City, NY 18 997 77 Indianapolis, IN 30 716 40 Newport Beach, CA 26 977 51 Novi, MI 20 980 53 Piedmont, CA 28 1042 75 Pittsburg, PA 21 983 66 Scarsdale, NY 20 1110 87 Wayne, PA 22 1040 85 Weston, MA 21 1031 89 Farmingdale, NY 22 947 81 Mamaroneck, NY 20 1000 69 Mayfield, OH 24 1003 48 Morristown, NJ 22 972 64 New Rochellle, NY 23 1039 55 Newtown Square, PA 17 963 79 Omaha, NE 23 1059 81 Shaker Heights, OH 23 940 82
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The outcome variable in a logistic regression model is the natural log of the odds of the outcome of interest for each participant. True False
The following table shows the past two years of quarterly sales information. Assume that there are both trend and seasonal factors and that the seasonal cycle is one year. QUARTER SALES 1 220 2 232 3 201 4 193 5 163 6 194 7 155 8 136 Use regression and seasonal indexes to forecast quarterly sales for the next year. Note: Do not round intermediate calculations. Round your answers to the nearest whole number.
The following table shows the percentage of people 25 years and older who have completed four or more years of college. Use the line of best fit (regression line) to predict when (what year) the percentage will reach 49%. Round the slope and y-intercept to four decimal places, if necessary. Year 1985 1990 1995 2000 2005 2010 Percentage 19.4 21.3 23.0 25.6 27.6 29.9
For the data below, what is the value of "b" for the regression equation? Family Father Son 120 121 110 105 120 125 92 87 85 92 72 90 107 110 115 122 155 133 90 123
The following table gives the yearly income (in thousands of dollars) of a large corporation for the years past 1987. Years past 1987 Income 336.7 409.1 2 484.3 3 558.1 4 625.9 5 703.1 6 772.8 7 845.3 8 914.1 9 986.2 The predictive regression equation of the yearly income for the years past 1987 is y = 338.84 + 72.16x. Predict the income in the 14th year after 1987. Round your answer to two decimal places. Income =
A. From the regression equation, what is the predicted percentage increase in sales when the advertising campaign cost is $4.10 million dollars? Round your answer to two or more decimal places.. B.

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