NEED HELP ON THE WHOLE PAGE PLEASE! 14. The table shows the total estimated numb
ID: 3145289 • Letter: N
Question
NEED HELP ON THE WHOLE PAGE PLEASE!14. The table shows the total estimated numbers of AIDS cases in the United States, by year of disgois Year AIDS Cases 1999 41356 2000 412 2001 40833 20024128 2003 43171 State the equation of best fit model, linear or quadratic 67 List the value of the coefficient of determination for this equation Use the model to predict the AIDS cases for 2018 15. The table below lists temperatures measures in Fahrenheit and Celsiun Degrees Fahrenhelt'F 32 68 20 30 50 122 158 194 212 90 100 State the equation of the best fit model linear or quadratic, List the value of the coefficient of determination for this equation Determine the equivalent temperature in degrees celsius for a body temperature of 98.6"F 16. True or False When a set of data has a negative linear correlation, its correlation coefficient (r),will be very close to 1 17. True or False: You must have the diagnostics turned off in order to see the correation coefficilent and coefficient of determination values when you select the regression equation. 18. If this scatter plot appeared on your calculator, which type of regression equation would you most liksely select? Regression type: 19. If this scatter plot appeared on your calculator, which type of you most likely select? Regression type: 20. Fill in the blanks: Independent variables are your values variables are your values. Dependent
Explanation / Answer
Q. 14
Best fit model will be quadratic here and its equation is= 345.14x2 -1380896.51x + 1381262472.85
Coefficient of determination R2 = 0.903
AIDS cases in 2018 = 14688
Q.15
Equation of best fit model is linear and it is y = 0.555x - 17.777
where x = temperature in farehneir and y = temperature in celcius
R2 =1
at 98.6F => Temperature in celsius = 0.555 * 98.6 - 17.777 = 37oC
Q.16 False, so its correlations coefficient will be very close to -1 not 1.
Q.17 Yes, diagostic must be turned off.
Q.18 Regression Type : Quadratic
Q.19 Regression type : exponential
Q.20 Independent value are your x- axis values and depenent values are your y- axis values.
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