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An electric utility wishes to examine the relationship between temperature and electricity use in its service region during the summer months. The bivariate data below give the maximum temperature (denoted by x, in degrees Fahrenheit) and the electricity use (denoted by y, in thousands of kilowatt hours) for a random sample of sixteen summer days.
Temperature, x(in degrees Fahrenheit) Electricity use, y(in thousands of kilowatt hours)
92.8 347.8
98.5 376.9
95.9 289.1
70.9 225.4
70.4 306.6
85.5 359.4
94.8 359.0
76.4 291.5
72.5 273.0
88.9 312.2
95.5 336.4
82.6 258.8
81.4 312.8
78.8 288.2
83.1 312.1
91.1 314.9
The value of the sample correlation coefficient r for these data is approximately 0.693.
What is the value of the slope of the least-squares regression line for these data? (Round your answer to at least two decimal places.)
What is the value of the y-intercept of the least-squares regression line for these data? ( Round your answer to at least two decimal places.)
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