Below are bivariate data giving birthrate and life expectancy information for each oftwelve countries. For each of the countries, both the number of births x per onethousand people in the population and the female life expectancy y (in years) are given.These data are displayed in the Figure 1 scatter plot.Birthrate, x(number ofbirths per 1000pop.)Female lifeexpectancy, y(in years)80-49.961.528.472.575-49.960.970+24.574.765-14.970.960-50.553.95539.665.136.869.350-31.763.746.257.619.274.0Figure 114.775.0x = 33.86ỹ = 66.59Sx = 13.65Sy7.15The least-squares regression line for these data has a slope of approximately –0.46.Answer the following. Carry your intermediate computations to at least four decimalplaces.a. What is the value of the y-intercept of the least-squares regression line for thesedata? Round your answer to at least two decimal places.b. What is the value of the sample correlation coefficient for these data? Round youranswer to at least three decimal places.

Given that, x¯=33.86, y¯=66.59 sx=13.65, sy=7.15 The slope of least square regression line is…

The least-squares regression line for these data has a slope of approximately –0.46. Answer the following. Carry your intermediate computations to at least four decimal places. a. What is the value of the y-intercept of the least-squares regression line for these data? Round your answer to at least two decimal places. b. What is the value of the sample correlation coefficient for these data? Round your answer to at least three decimal places.

The least-squares regression line for these data has a slope of approximately –0.46. Answer the following. Carry your intermediate computations to at least four decimal places. a. What is the value of the y-intercept of the least-squares regression line for these data? Round your answer to at least two decimal places. b. What is the value of the sample correlation coefficient for these data? Round your answer to at least three decimal places.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Answer the questions based on the following data table. What is the value of the correlation coefficient (r) between the variables? (round to 2 decimals) How much of the variation between the variables is explained by the regression model (R-sqr)? (round to 2 decimals) How far off (std error) will the regression model typically be in predicting y? At what level is the regression statistically significant (i.e.,Sig.F)? decimals) What is the slope (coefficient of x) of the linear regression equation? 2 decimals) What is the y-intercept of the linear regression equation? (round to 2 If given an x value of 3.6, what value of y does the regression equation predict? (round to 2 decimals) (round to (round to 2 decimals)
Hello. How do you calculate this question on a TI-83? Thanks.
The following sample observations were randomly selected. (Round intermediate calculations and final answers to 2 decimal places.) 6 7 6 2 Click here for the Excel Data File a. The regression equation is ŷ = b. When X is 5 this gives ŷ = 54
If the linear correlation between two variables is negative, what can be said about the slope of the regression line? ..... Choose the correct answer below. A. More information is needed B. Negative C. Positive
5 prac
PLEASE HELP!!!
The least squares regression line for these data has a slope of approximately -0.27. Answer the following. Carry your intermediate computation to at least four decimal places, and rounder answers as specified below.a. What is the value of the y-intercept of the least squares regression line for these data? Round your answer to at least two decimal places.b. What is the value of the sample correlation coefficients for these data? Round your answer to at least three decimal places.
Consider the data. xi 2 6 9 13 20 yi 6 16 9 24 22 a. The estimated regression equation for these data is ŷ = 6.4 + 0.9x. What percentage of the total sum of squares can be accounted for by the estimated regression equation? (Round your answer to one decimal place.) b. What is the value of the sample correlation coefficient? (Round your answer to three decimal places.)
10
Suppose a doctor measures the height, x, and head circumference, y, of 8 children and obtains the data below. The correlation coefficient is 0.858 and the least squares regression line is y = 0.228x +11.187. Complete parts (a) and (b) below. Height, x 27.5 25.75 26.5 25.5 27.25 26.25 25.75 27.25 27 27.25 27 Head Circumference, y 17.4 17.2 17.2 16.9 17.6 17.1 17.1 17.4 17.4 17.3 17.3 (a) Compute the coefficient of determination, R². R² =% (Round to one decimal place as needed.) (b) Interpret the coefficient of determination and comment on the adequacy of the linear model. Approximately % of the variation in (Round to one decimal place as needed.) is explained by the least-squares regression model. According to the residual plot, the linear model appears to be
a) Determine the correlation coefficient, r, and interpret this value in the context of the problem. (Round 4 decimal places)b) Find the equation of the regression line for the given data. (Round the slope and y-intercept 4 decimal places).c) Give a practical interpretation of the slope of the regression line.
write the regression code for the following data based on the below instruction, in STATA. hint: occupation=a categorical variable equal to ”1” if a person’s occupation is ”management”; ”2” if it is ”sales”; ”3” if it is ”clerical”, ”4” if it is ”service”, ”5” if it is ”professional” and ”6” if it is ”other”. Please make sure to use ”other” as the base category;