Since the beginning of the semester, Mr. Bates has regular workouts where his Apple Watch® keeps track of his calories burned. The data for his workouts is in the table on the left side.

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Since the beginning of the semester, Mr. Bates has regular
workouts where his Apple Watch® keeps track of his calories
burned. The data for his workouts is in the table on the left side.
Minutes
Calories
30
293
1. On a separate sheet of paper, graph this data in a scatterplot.
Make sure to label your axes.
30
301
26
221
33
331
30
276
21
182
2. Find the correlation coefficient of the data.
29
280
15
93
40
327
31
267
3. Find a linear regression equation to model this data.
32
261
30
265
34
357
21
194
4. If Mr. Bates exercises for 35 minutes, how many calories is he likely
to burn? (Round to the nearest whole number).
28
282
XC. If Mr. Bates' watch says he burned 150 calories, how many minutes did he most likely exercise?
(Round to the nearest whole number.)
Transcribed Image Text:Since the beginning of the semester, Mr. Bates has regular workouts where his Apple Watch® keeps track of his calories burned. The data for his workouts is in the table on the left side. Minutes Calories 30 293 1. On a separate sheet of paper, graph this data in a scatterplot. Make sure to label your axes. 30 301 26 221 33 331 30 276 21 182 2. Find the correlation coefficient of the data. 29 280 15 93 40 327 31 267 3. Find a linear regression equation to model this data. 32 261 30 265 34 357 21 194 4. If Mr. Bates exercises for 35 minutes, how many calories is he likely to burn? (Round to the nearest whole number). 28 282 XC. If Mr. Bates' watch says he burned 150 calories, how many minutes did he most likely exercise? (Round to the nearest whole number.)
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