Using the data on the 'data' tab, construct a scatterplot that compares the age and weight variables in the space below. Let the age be the 'x' variable and weight be the 'y' variable. In the scatterplot, include at least the ax's names and the title of the graph.
7b. Describe the scatterplot above. Identify the two variables and any correlation that you observe in the scatterplot above. Explain your answer.
7c. Calculate the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Show your calculations for r below. Include an explanation on how you found the critical value.
7d. Determine whether there is sufficient evidence to support the claim of a linear correlation between the weight and age of those individuals admitted to the hospital with this infectious disease. Explain your answer.
7e. Find the regression equation. Let the predictor (x) variable be the age. Identify the slope and the y-intercept within your regression equation.

Show your calculations below. Describe how you constructed the regression equation.
7f. Is the equation a good model? Explain your answer.
7g. What would be the best-predicted weight of a patient who was 80 years of age? Include the correct units.

Show your calculations below. Explain how you determined your answer.

 

Patient # Infectious Disease Age Weight 1 70 321 2 3 4 5 6 7 8 9 06 10 11 12 13 14 15 1589828788833385 16 20 22 24 26 30 34 36 38 Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes 63 56 63 65 75 62 59 83 69 65 57 68 70 75 56 63 55 73 81 45 62 51 63 88888R84FN 64 66 50 65 68 44 70 58 45 77 53 68 71 327 327 329 334 336 351 320 354 260 373 266 303 316 390 189 318 390 189 266 392 200 266 203 221 272 191 203 222 273 194 225 237 274 196 207 235 241