Question 23 For Questions 23-27 use the table here. The following data give the COVID-19 prevalence and mortality rates
Posted: Wed Jul 06, 2022 12:28 pm
Question 23 For Questions 23-27 use the table here. The following data give the COVID-19 prevalence and mortality rates in some NCR cities. Mortality Rate (Y) 0.008 0.008 0.009 0.008 0.002 0.004 0.007 0.005 0.011 0.015 PrevalenceRate (X) 0.082 0.056 0.067 0.013 0.047 0.068 0.024 0.066 0.109 2 pt 0.110 • What is the correlation between mortality and prevalence rates and how do you interpret it? Ⓒ -0.3102. weak inverse linear relationship O 0.5570, moderate direct linear relationship Ⓒ -0.5570, moderate inverse linear relationship O 0.3102, weak direct linear relationship
Question 24 Which is true about the coefficient of determination? O 31.02% of the total variability in prevalence rates could be accounted for by the linear relationship with the mortality rates 55.70% of the total variability in prevalence rates could be accounted for by the linear relationship with the mortality rates. 55.70% of the total variability in mortality rates could be accounted for by the linear relationship with the prevalence rates. 31.02% of the total variability in mortality rates could be accounted for by the linear relationship with the prevalence rates. Question 25 2 pts There is no relationship between mortality and prevalence rates at 5% level of significance There is a significant correlation between mortality and prevalence rates at 5% level of significance. Which statement is correct about the correlation between mortality and prevalence rates? There is no significant correlation between mortality and prevalence rates at 10% level of significance There is a significant correlation between mortality and prevalence rates at 10% level of significance. 2 pts
Question 26 What is the estimated simple linear regression model which describes the linear relationship between prevalence (x) and mortality rates (y)? Oy -0.0642x+0.0036 Oy 0.0270x + 4.8343 Oy -0.0036x +0.0642 Oy 4.8343x +0.0270 Question 27 2 pts There is an estimated average increase of 0.3 in y for every unit increase in x. O The expected value of y is 5 when x = 0 The estimated value of y is 4 when x = 0.5 d) The slope 0.5 and correlation of x and y will have the same sign. 2 pts Suppose that an estimated regression model is given by y = 0.3x + 5. Which statement is FALSE?
Question 24 Which is true about the coefficient of determination? O 31.02% of the total variability in prevalence rates could be accounted for by the linear relationship with the mortality rates 55.70% of the total variability in prevalence rates could be accounted for by the linear relationship with the mortality rates. 55.70% of the total variability in mortality rates could be accounted for by the linear relationship with the prevalence rates. 31.02% of the total variability in mortality rates could be accounted for by the linear relationship with the prevalence rates. Question 25 2 pts There is no relationship between mortality and prevalence rates at 5% level of significance There is a significant correlation between mortality and prevalence rates at 5% level of significance. Which statement is correct about the correlation between mortality and prevalence rates? There is no significant correlation between mortality and prevalence rates at 10% level of significance There is a significant correlation between mortality and prevalence rates at 10% level of significance. 2 pts
Question 26 What is the estimated simple linear regression model which describes the linear relationship between prevalence (x) and mortality rates (y)? Oy -0.0642x+0.0036 Oy 0.0270x + 4.8343 Oy -0.0036x +0.0642 Oy 4.8343x +0.0270 Question 27 2 pts There is an estimated average increase of 0.3 in y for every unit increase in x. O The expected value of y is 5 when x = 0 The estimated value of y is 4 when x = 0.5 d) The slope 0.5 and correlation of x and y will have the same sign. 2 pts Suppose that an estimated regression model is given by y = 0.3x + 5. Which statement is FALSE?