Use the potency and temperature data below.

An experiment was conducted to observe the effect of an increase in temerature on the

potency of an antibiotic. Three 1-ounce portions of the antibiotic were stored for equal

lengths of time at each of these temperatures: 30°, 50°, 70°, and 90°. The potency

readings observed at each temperature of the experimental period are listed here:

Potency Readings, y 38, 43, 29 32, 26, 33 19, 27, 23 14, 19, 21

Temperature, x 30° 50° 70° 90°

As before, conduct a full regressional analysis (see 1A-1E) to answer this

question:

Within the sample data, is a one-degree increase in storage temperature of

antibiotics associated with a decrease in potency? If so, how much?

In this case, you'll need to determine which is the response variable in your

analysis. Looking at the question, which variable would you say the researcher

is more interested in predicting? The predicted variable is the response

variable. (You can also look at the research question as an interpretation of a

regression coefficient—when you write a statement that interprets a regression

coefficient, which variable goes first?) (5 points)