1)
Lesser than
2)
Decrease
3)
Predicted Y at X= 13.6 is
Ŷ= 82.45526 +
-0.47961 *13.6= 75.933
= 75.9
4)
72.4
Please let me know in case of any doubt.
Thanks in advance!
Please upvote!
Might we be able to predict life expectancies from birthrates? Below are bivariate data giving birthrate...
Suppose that you have in your possession bivariate data giving birthrate and life expectancy information for a random sample of 15 countries. For each of the countries, the data give both x, the number of births per one thousand people in the country's population, and y, the country's female life expectancy in years. The least squares regression equation computed from your data is y = 84.06 -0.51x. Suppose that you're predicting the female life expectancy for a country whose birthrate...
HI ISLI UCIUI-Liedleu quesLIUI Country Data from 10 countries can be used to examine the association between female Life Expectancy and the average Number of Children women give birth to Complete parts a through d and f through g. Births! Woman Life Exp. 74.6 Full data set Country Births/ Life Woman Exp. 67.4 G 79.3 H 3.7 58.1 2.1 75.3 2. 676.8 12.9 24.8 53.9 79.6 72. 2 24 c) Find the correlation Find the correlation when all data points...
The table below shows the life expectancy for an individual born in the United States in certain years. Year of Birth Life Expectancy CHART W NUMBERS IS BELOW Part (a) Decide which variable should be the independent variable and which should be the dependent variable. A)Independent: year of birth; Dependent: life expectancy Independent: life expectancy; B) Dependent: year of birth Incorrect: Your answer is incorrect. Part (b) Draw a scatter plot of the ordered pairs. Part (c) Calculate the least...
The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. The bivariate data given below were taken from a sample of sixteen Cadets, each bought new two years ago, and each sold used within the past month. For each Cadet in the sample, we have listed both the mileage (in thousands of miles) that the Cadet had on its odometer at the time it was sold used and the price y (in thousands...
here is the data Y X 34.38 22.06 30.38 19.88 26.13 18.83 31.85 22.09 26.77 17.19 29.00 20.72 28.92 18.10 26.30 18.01 29.49 18.69 31.36 18.05 27.07 17.75 31.17 19.96 27.74 17.87 30.01 20.20 29.61 20.65 31.78 20.32 32.93 21.37 30.29 17.31 28.57 23.50 29.80 22.02 this is q1 2. Using a computer program, a data set with 20 observations on and was generated (GENERATEDATA.csv). Again, use the same instructions as above (in #1) to upload and import this dataset...
From the data in the table below, estimate two regression models using a calculator or MS Excel (calculations only) to solve this. At a very minimum, please attempt one using a calculator. Show your work in a table Model 1: Weekly Disposable IncomeAge+ Model 2: Weekly Per Capita Consumption Age+ Age (years) Income (S Weekly Disposable Weekly Consumption per capita (S 30 35 40 45 50 500 550 600 500 900 1000 1000 1200 1500 50 60 60 50 70...