KAn institution reports many demographic statistics about countries of the world. Data were collected about the Fertility rate (births per woman)and the female Life Expectancy at birth (in years) for 200 countries of the world. The regression output and a scatterplot of the data are shownbelow. Complete parts a through d below.Response variable is: Life expectancy219 total cases of which 19 are missingR squared 71.9%$= 4.303VariableInterceptFertilityCoefficient83.3753-4.54984OA. Yes, an outler occurs at approximately x(Round to one decimal place as needed.)ICCOLife ExpectancyOB. Yes, an outlier occurs at approximately x=(Round to one decimal place as needed.)OC. No, there is no outlier.c) Interpret the value of R². Choose the correct answer below.90-80-70-60-50+40-2FersityThis outier has an unusually high life expectancy given its fertility rate.b) is there an outlier? If so, identify it. Which data value is unusual? Select the correct choice below and, if necessary, fill in the answer box tocomplete your choice.0This outlier has an unusually low life expectancy given its fertility rate.QQG

R-squared value is 71.9%Standard deviation s=4.303.Intercept is 83.3753.Slope is -4.54984.

Answered: An institution reports many demographic…

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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Step 4 The following table summarizes the given data and the forecast values. There will not be a forecast error for the first month. Complete the columns for the forecast error and squared forecast error. Month Value Forecast Value 1 2 3 4 5 6 7 19 27 23 28 24 23 28 19 23 23 24.25 24.2 24 Forecast Error Actual - Forecast Submit Skip (you cannot come back) 27 19 = 8 0 5 -0.25 4 Total Squared Forecast Error (Actual - Forecast)² (8)² = 64 0 1.44 The MSE will be the average of the squared forecast error column. Find the average of this column, rounding the result to two decimal places. MSE =
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A Hospital record for a patient indicates the patient's assigned department, room location and number of days the patient was treated. Classify each variable as qualitative or quantitative. A sample data table is listed below. Department Room Location Days of Treatment Maternity A102 2 Cardiac G210 5 Orthopedic C309 3
Is the variable(foot print) below normally distributed or skewed? If skewed, indicate the direction. male shoe print #1 32.2 #2 30.1 #3 29.0 #4 31.8 #5 29.4
ea surface temperature26.726.726.626.626.626.626.526.526.326.326.126.1Growth0.850.850.850.850.790.790.860.860.890.890.920.92 Make a scatterplot. Which is the explanatory variable? The plot shows a negative linear pattern. Explanatory Variable:
Instructions: Use the technology of your choice (calculator, Excel, GeoGebra, Google Sheets) to find the regression line, the correlation coefficient of the following data sets, and interpolate or extrapolate the requested data. (Round all numbers to the nearest hundredth, when necessary.) Data Set: {(0,7),(1,5),(1.5,3),(2,5),(2.3,3.2),(3,2),(3.5,4)}{(0,7),(1,5),(1.5,3),(2,5),(2.3,3.2),(3,2),(3.5,4)} The regression line is: y=y= Answer −− Answer xx Based on the regression line, we would expect the value of response variable to be Answer when the explanatory variable is 0. (NOTE: This is the yy-intercept.) For each increase of 1 in of the explanatory variable, we can expect a(n) Answerdecreaseincrease of Answer in the response variable. (NOTE: This is the slope.) If x=2.5x=2.5, the yˆ=y^= Answer. This is an example of Answerextrapolationinterpolation. The correlation coefficient is r=r= Answer.
Given the scatter plot below, which of the following describes the strength and direction of the data? 10 Weak negative correlation Strong negative correlation Strong positive correlation Weak positive correlation

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