Final answer:
To predict the temperature during the sixth hour, we need to find the regression equation of the line that best fits the given data. Using the slope and y-intercept, we can substitute x = 6 into the equation to find the predicted temperature, which is -3.42.
Step-by-step explanation:
To predict the temperature during the sixth hour using the regression equation, we need to find the equation of the line that best fits the given data. The regression equation is of the form y = mx + b, where m is the slope of the line and b is the y-intercept.
First, we need to calculate the slope (m) and the y-intercept (b) using the given data points. Then, we can substitute x = 6 into the equation to find the predicted temperature.
Using the formula for the slope (m) and the y-intercept (b), we find that m = -5.07 and b = 22.2. Substituting x = 6 into the regression equation, we get y = -5.07(6) + 22.2 = -3.42. Therefore, the predicted temperature during the sixth hour is -3.42.