Question

Back to the Harris county SARS-Cov2 new cases data set: Here you have two subsets of the timeline of 30 consecutive days.

27 80 51 18 26 216 81 37 117 167 108 151 178 111 414 337 195 706 214 300 68 118 160 190 209 154 193 170 154 166

337 483 163 332 320 314 312 324 380 210 504 425 450 395 1187 1135 179 1994 1374 1365 1231 1238 908 113 1453 693 1437 1249 1208 597

1. Do the scatterplot for these data using each of the two axes for one of these data points.
2. The data sequences are separated by a time window exceeding 30 days. Does there seem to be an association between these data sets? Do your findings suggest anything regarding the proliferation of infections?

Answer 1

Let, X: first subset of Harris country SARS-Cov2 data.

Y: second subset (after 30 days of timeline) of Harris country SARS-Cov2 data.

a) Scatterplot for the two subsets.

b) To check the association between two datasets, we will check correlation between them.

corr(x,y)= cov(x,y) / (sd(x)*sd(y));

Hence, corr(x,y)= 0.639843

i.e. there is positive correlation between these two subsets.

If you observe the data, then there is continuous increase in the number of infected people. Hence, after 30days of timeline, infection has increased significantly.