In the following problem, determine whether a straight line is a good model for the data. You may do this either visually, by plotting the data points, or analytically, by finding the correlation coefficient for the least-squares regression line.
Natural Science The accompanying table shows the average monthly temperature (in degrees Fahrenheit) in Cleveland, Ohio, based on data from 1961 to 1990. Let x = 2 correspond to February, x = 4 to April, etc.
Month | Feb | April | June | Aug | Oct | Dec |
Temperature | 27.3 | 47.5 | 67.5 | 70.3 | 52.7 | 30.9 |
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