According to the Farmer's Almanac, the frequency of cricket
chirps varies according to the ambient temperature. As a result, by
counting the number of chirps and dividing by the time period, the
temperature can be predicted using a linear equation. The data set
in the second sheet of the spreadsheet linked above, provides 15
observations of the number of cricket chirps per second and the
corresponding temperature in degrees F.
The equation for the least squares regression line is y = 3.291
x + 25.232
What is the response variable?_______
1) Number of Chirps
2) Temperature
3) Time
What is the predictor variable?
1) Number of Chirps
2) Temperature
3) Time
What is the interpretation of the slope?
1) Number of chirps when the temperature is 0 degrees F
2) Rate at which the number of chirps changes as temperature
increases
3) Rate at which the temperature changes as the number of chirps
increases
4) Temperature when the number of chirps is 0
What is the interpretation of the intercept?
1) Number of chirps when the temperature is 0 degrees F
2) Rate at which the number of chirps changes as temperature
increases
3) Rate at which the temperature changes as the number of chirps
increases
4) Temperature when the number of chirps is 0
What is the predicted temperature in degrees F when 21 chirps
per second is measured?
_________ degrees F