3. From the scatter plot it is observed that there is a linear relationship between alcohol consumption and heart attacks. Since from scatter plot it is also observed that if wine consumption increases then rate of heart attack decreases hence it is negative association.
4.
The regression equation is
Death rate = 260.56 - 22.97 Wine Consumption
Pearson correlation of Wine Consumption and Death rate = -0.843
5. Slope: If the average wine consumption is increased by one liter then the predicted rate of heart attack decreased by 0.0002297.
Intercept: When the average wine consumption is zero then the predicted rate of heart attack is 0.0026056.
6.
7. Predicted rate of heart attack when average wine consumption=1.5 liters/year= (260.56 - 22.97*1.5)/100000=0.0023.
The following table presents data on wine consumption (in liters per person per year) and death...
I need help from 9-11. I calculated 7-8 below. 7)Alcohol Consumption (liters/person/year): 3 Heart disease = 260.56-22.969(3) = 191.653 8) Alcohol Consumption (liters/person/year): 15 Heart disease = 260.56-22.969(15) = -83.975 It wouldn’t be appropriate because the heart disease is in -83.975. The following table presents data on wine consumption (in liters per person per year) and death rate from heart attacks (in deaths per 100,000 people per year) in 19 developed Western countries. WINE CONSUMPTION AND HEART ATTACKS Alcohol Heart...
5. Write sentences that interpret the slope and y-intercept of the LSRL. 6. Superimpose the regression equation on the scatterplot. 7. Predict the rate of heart attacks for a country where the average wine consumption is 3 liters/person/year. 8. Would it be appropriate to try to predict the death rate from heart attacks for Estonia where the per capita wine consumption is 15 liters/year? Why or why not? 9. What is the explained variation for this data? Interpret your result....
The following scatterplot presents data on wine consumption and death rate from heart attacks in 19 developed Western countries. The scatterplot shows that...(disregard question on top of scatterplot photo)!!!!!! a. countries that drink more wine have lower death rates from heart disease. b. country is the explanatory variable. c. countries that drink more wine have higher death rates from heart disease. d. the amount of wine a country drinks is not related to its heart disease death rate. e. heart...
The scatterplot below presents data on wine consumption and death rate from heart attacks in 19 developed Western countries. The correlation between wine consumption and heart disease deaths is one of the following values. From the scatterplot, which must be true? 300 Heart Disease Death per 100,000 People 02 6 8 Alcohol from Wine (liters) 10 12 a. r=0.84 Ob.r= -0.84 Ocr=0.25 Od r=0.001 e. r= -0.25
QUESTION 13 The scatterplot below presents data on wine consumption and death rate from heart attacks in 19 developed Western countries. If the heart disease death rate were expressed as deaths per 1000 people instead of deaths per 100,000 people, how would the correlation r between wine consumption and heart disease death rates change a. r would not change b. r would be multiplied by 10 c. r would be divided by 100 d. r would be multiplied by 100...
i need the answers to b c d e and f Q3. 120 pts) There is some indication that consumption of moderate amounts of wine can help prevent heart attacks. Below is a plot and summary of yearly wine consumption (liters of alcohol fromm drinking wine, per person) and yearly death rates from heart disease (deaths per 100,000 for a of & n contries Heart discase death rate167 131 220 71 107 167 115 236 Alcohol from wine Heart death...
5. The following data relates the physiological response to alcohol intake by measuring the 'Drop in Body Temperature (°C)' a person experiences per 'Dose of Alcohol Dose of Alcohol (g/kg)Drop in Body Temperature (°C) 13 15 4 4 Mean = 3 Mean -13 a. Compute the linear regression line equation that describes the effect of b. Interpret the value of the slope of the regression line, bi, in the context of this c. Calculate the predicted values, y, for each...
2. Choose a country and research population data in order to fill out the table beloa. Copy the population numbers counted each five years, as shown in the data base, for the years from 1950 to 2000 . Add a column, \(t\), measuring years șince 1945 .b. What is the country you selected? In what part of the world is it? What is the magnitude of its population numbers? \(\left(100,000^{\circ} \mathrm{s}\right.\), millions, hundred millions, billions?) Is it growing or shrinking...
Car engine displacement in liters and fuel consumption for combined city/highway in miles per gallon (MPG). This data is from 2015 Fuel Economy Guide for the Department of Energy (DOE) Engine a. Make a scatterplot of the car MPG by displacement from the data in columns B and C. Displacement Combined Be sure the scatterplot contains the 5 important points of a chart or graph. Car Liters MPG Acura RLX 3.5 22.0 b. Place the regression trend line on the...
The data shows sugar consumption (pounds per year per person) in the United States for a sample of 5 years. Year Sugar Consumption 1900 46 1920 71 1940 77 1960 79 1980 86 2000 106 The mean of year is 1950 and the standard deviation of year is 37.4. The mean of sugar consumption is 77.5 and the standard deviation is 19.6 The correlation coefficient between Year and Sugar consumption is 0.95 [Useful formulas: slope=rSy/Sx and intercept = mean of...