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.

The Federal Bureau of Investigation (FBI), as part of its internal security mission, serves as a database for all the reported crimes committed in the United States. One question that might be of interest is does having more police officers reduce the number of homicides? To investigate this claim, the 2013 data from the twenty largest municipal cities was supplied by the FBI's Uniform Crime Report. Below are two observations from the dataset: > head (cities) City Pop Homicides Police Density MedHome Mayor 1 New York 8175.133 335 4.2595 27016.30 5.5390 1 2 Chicago 2695.598 414 4.4309 11843.58 1.8310 The variables included in the study are: Name of city Population of city in 1,000s of people Number of homicides in the year 2013 Number of police officers per 1,000 people Number of people per square mile Median home price in $100,000 1 if city has a "Strong Mayor" form of government; 0 if not City Рор Homicides Police Density MedHome Мayor Model: log(u;) = Bo + B1Police; + B2MedHome; +…

Population Growth in Central and Eastern European Cities city Berlin Vienna Kiev Budapest Istanbul Berlin Vienna Kiev Budapest Istanbul 1870 826,000 834,000 127,000 320,000 531,000 Berlin Vienna Kiev Population Budapest Istanbul 1910 2.071 million 2.031 million 323,000 880,000 782,000 The table above gives historical population statistics for five cities in Central and Eastern Europe. For each city calculate the rate of population growth (k) from 1870 to 1910. We'll call this k, and enter it in the table below. Which city grew the fastest? Which grew the slowest? City k, (1870-1910) fast/slow k₂ (1950-1989) 1950 3.337 million 1.616 million 1.104 million 1.571 million 1.179 million Finally, use your values for k₂ to estimate the current population of each city. City Current Population (est.) 1989 3.353 million 1.488 million 2.587 million 2.114 million 5.843 million Next, calculate k₂ - the value of k from 1950 to 1989-for each city. Compare your values of k₂ with your values for k₁. For…

Terri Vogel, an amateur motorcycle racer, averages 129.14 seconds per 2.5 mile lap (in a 7 lap race) with a standard deviation of 2.28 seconds . The distribution of her race times is normally distributed. We are interested in one of her randomly selected laps. (Source: log book of Terri Vogel) Let X be the number of seconds for a randomly selected lap. Round all answers to 4 decimal places where possible.b. Find the proportion of her laps that are completed between 131.08 and 134.03 seconds. ___________________c. The fastest 2% of laps are under  seconds.____________________d. The middle 70% of her laps are from ____ seconds to  ____ seconds.

This shows log GDP per capita for the UK. Which of the following statements are correct? Select one or more: a. The graph shows that in 1950 UK GDP per capita was about £8.75. b.   The trend growth rate over the period was 0.9889% per annum.   c.   When actual output is below trend output the economy is in recession.   d. The trend growth rate over the period was 2.14 % per annum.

ourse: MAC 2311 (SP22, DL) 7. You and a companion are driving a twisty stretch of road in a car with a speedometer but no odometer. To find out how long this road is, you record the car's velocity at 10-second intervals. Time (s) Velocity (ft/s) Time (s) Velocity (ft/s) 70 11 10 32 80 23 20 36 90 32 30 26 100 22 40 47 110 10 50 49. 120 29 60 19 a. Estimate the length of the road using left-endpoint values. 3660 ft b. Estimate the length of the road using right-endpoint values. ft 000 esc F4 F5 F6 10 F11 12 F1 F2 F3 #3 $ % & * 1 2 3 4 6 7 8 delete { Q W E R Y U tab A S D G H J K L return caps lock > V IB N .. .-

A researcher conducted a study of commitment to a romantic relationship and how much attention a person pays to attractive alternatives. In this​ study, participants were shown a set of slides of attractive individuals. At the start of the results​ section, the researcher​ notes, "The​ self-reports on the Attentiveness to Alternative Index and the time spent actually inspecting the attractive​ opposite-sex slides...were positively​ skewed, so logarithmic transformations of the data were​ performed." Explain what is being described here​ (and why it is being​ done) to a person who understands ordinary parametric statistics but has never heard of data transformations.Choose the correct answer below.A.The sampling distribution was not​ normal, so the logarithm was taken of each score to make the distribution more normal. This procedure was used because the distribution was very strongly skewed to the right. This procedure keeps the order of the scores the​ same, so hypothesis tests can be…

When using the exponentially weighted moving average for purposes of forecasting rather than smoothing,   Group of answer choices   the current smoothed value becomes the forecast.   the previous smoothed value becomes the forecast.   the next smoothed value becomes the forecast.   None of the above.

A 18.2% B 15.7% C 22.2% D 4.4%

True, or false? One reason it is usually wise to treat an ordinal variable with methods that use the ordering is that in tests about effects, chi-squared statistics have smaller df values and tend to be more powerful. The cumulative logit model assumes that Y is ordinal; it should not be used with nominal Y. The baseline-category logit model treats Y as nominal; it can be used with ordinal Y, but it then ignores the ordering.