(a) Use the regression feature of a graphing utility to find the equation of the least squares regression line that fits the data. Let t = 0 represent 2000. (Round the slope and y-intercept to two decimal places.) N = (b) Use the graphing utility to create a scatter plot of the data. Then graph the model you found in part (a) and the scatter plot in the same viewing window. How closely does the model represent the data? The model is a good fit to the actual data. The model is not a good fit to the actual data. (c) Use the model to estimate the number of television sets in U. S. households in 2007. (Round your answer to one decimal place.) N = 3 million (d) Use your school's library, the Internet, or some other reference source to analyze the accuracy of the estimate in part (c).

i think it is x = 1.2

step-by-step explanation:

12: 00 p.m. to 7: 00 p.m. is a total of 7 hours.

4: 00 p.m. to 7: 00 p.m. is a total of 3 hours.

this means that from 4: 00 p.m to 7: 00 p.m. this represents 3/7 of what was lost from 12: 00 p.m. to 7: 00 p.m.

after knowing this, after doing 11,600 - 6,800 = 4,800

4,800 represents 3/7 of what was lost for 7 hours.

we then divide 4,800 by 3 which gets 1,600.

because we know that 1,600 represents 1/7 of how much water was lost, we just have to multiply by 7, which gets 11,200.   after adding 11,200 to how much water was left at 7: 00 p.m. which was 6,800. 11,200 + 6,800 = 18,000

this means that the pool originally had 18,000 gallons in the pool.

you can also check your work by doing 18,000 - 4(1600), which becomes           1800 - 6400 which gets you 11,600.