of time as the soil dries out. The researcher hypothesized a decreasing trend, possibly linear, in time. Letting y = soil moisture and x = sample time, the estimated regression line is ŷ = 2.46 – 0.012r Suppose that you are the reviewer of this paper. Comment about the statistical analysis. The data is provided by the researcher (soil.csv) because the journal requires the attachment of data. So, you can use this data to clarify the problems if any.

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A long term crop rotation study was conducted in Eastern Arkansas to deter-
mine the impacts of common crop management techniques on the properties of
the soil under cultivation. One aspect of the study was to model soil moisture
patterns over a growing season for each treatment combination and to compare
trends across the various treatments. Daily soil moisture and soil temperature
readings were taken at 10 minute intervals by automatic data loggers. In this
example, soil moisture at six hour intervals over a ten day period that began at
8:00 AM on the first day of the period immediately following a rain event. The
objective was fit a model that describes the soil moisture trend as a function
of time as the soil dries out. The researcher hypothesized a decreasing trend,
possibly linear, in time. Letting y = soil moisture and x = sample time, the
estimated regression line is
ŷ = 2.46 – 0.012.x
Suppose that you are the reviewer of this paper. Comment about the statistical
analysis. The data is provided by the researcher (soil.csv) because the journal
requires the attachment of data. So, you can use this data to clarify the problems
if any.
Transcribed Image Text:A long term crop rotation study was conducted in Eastern Arkansas to deter- mine the impacts of common crop management techniques on the properties of the soil under cultivation. One aspect of the study was to model soil moisture patterns over a growing season for each treatment combination and to compare trends across the various treatments. Daily soil moisture and soil temperature readings were taken at 10 minute intervals by automatic data loggers. In this example, soil moisture at six hour intervals over a ten day period that began at 8:00 AM on the first day of the period immediately following a rain event. The objective was fit a model that describes the soil moisture trend as a function of time as the soil dries out. The researcher hypothesized a decreasing trend, possibly linear, in time. Letting y = soil moisture and x = sample time, the estimated regression line is ŷ = 2.46 – 0.012.x Suppose that you are the reviewer of this paper. Comment about the statistical analysis. The data is provided by the researcher (soil.csv) because the journal requires the attachment of data. So, you can use this data to clarify the problems if any.
day.of.year time.of.day sampling.time soil.temperature soil.water.content
174 8am
174.25
24
0.358
174 2pm
174 8pm
174.5
29.85
0.352
174.75
31.4
0.346
175 2am
175
27.44
0.338
175 8am
175.25
25.05
0.331
175 2pm
175.5
29.98
0.329
175 8pm
175.75
31.29
0.325
176 2am
176
27.8
0.318
176 8am
176.25
25.2
0.313
176 2pm
176.5
29.84
0.311
176 8pm
176.75
31.27
0.309
177 2am
177
27.46
0.303
177 8am
177.25
24.87
0.298
177 2pm
177.5
29.56
0.298
177 8pm
177.75
30.17
0.296
178 2am
178
26.5
0.291
178 8am
178.25
24.89
0.288
178 2pm
178.5
28.38
0.288
178 8pm
178.75
32.68
0.288
179 2am
179
27.53
0.283
179 8am
179.25
25.2
0.28
179 2pm
179.5
30.44
0.279
179 8pm
179.75
34.34
0.278
180 2am
180
28.92
0.275
180 8am
180.25
26.5
0.272
180 2pm
180.5
31.41
0.27
180 8pm
180.75
34.61
0.267
181 2am
181
29.61
0.265
181 8am
181.25
27.09
0.262
181 2pm
181.5
31.79
0.26
181 8pm
181.75
35
0.256
182 2am
182
30.23
0.254
Transcribed Image Text:day.of.year time.of.day sampling.time soil.temperature soil.water.content 174 8am 174.25 24 0.358 174 2pm 174 8pm 174.5 29.85 0.352 174.75 31.4 0.346 175 2am 175 27.44 0.338 175 8am 175.25 25.05 0.331 175 2pm 175.5 29.98 0.329 175 8pm 175.75 31.29 0.325 176 2am 176 27.8 0.318 176 8am 176.25 25.2 0.313 176 2pm 176.5 29.84 0.311 176 8pm 176.75 31.27 0.309 177 2am 177 27.46 0.303 177 8am 177.25 24.87 0.298 177 2pm 177.5 29.56 0.298 177 8pm 177.75 30.17 0.296 178 2am 178 26.5 0.291 178 8am 178.25 24.89 0.288 178 2pm 178.5 28.38 0.288 178 8pm 178.75 32.68 0.288 179 2am 179 27.53 0.283 179 8am 179.25 25.2 0.28 179 2pm 179.5 30.44 0.279 179 8pm 179.75 34.34 0.278 180 2am 180 28.92 0.275 180 8am 180.25 26.5 0.272 180 2pm 180.5 31.41 0.27 180 8pm 180.75 34.61 0.267 181 2am 181 29.61 0.265 181 8am 181.25 27.09 0.262 181 2pm 181.5 31.79 0.26 181 8pm 181.75 35 0.256 182 2am 182 30.23 0.254
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