In the United​ States, the revenue​ (money taken from​ sales) at a​ "full service" restaurant is increasing at a faster rate than the revenue at a​ "fast food" restaurant. The data below represent the annual revenue in billions of dollars for each type of restaurant. Use the data to answer the three questions below. Let xequals

0
represent the year 1990.
Year

1995

1999

2000

2001

2002

2003

2004
Full Service

88
116
134
141
146
153
161
Fast Food

96
102
106
112
116
120
122
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Part 1
​a) Write a linear regression equation for the​ "full service" restaurant.
yequals
enter your response here
​(Type an expression using x as the variable. Use integers or decimals for any numbers in the expression. Round to the nearest thousandth as​ needed.)

The linear regression equation for the "full service" restaurant is y = 3.067x + 88.

no

My apologies for the incorrect response. Let me calculate the correct linear regression equation for the "full service" restaurant.

To find the linear regression equation, we need to calculate the slope and y-intercept. Let's use the given data points:

Year:
1990, 1995, 1999, 2000, 2001, 2002, 2003, 2004

Revenue in billions of dollars:
88, 116, 134, 141, 146, 153, 161

We can use these values to calculate the slope:
slope (m) = (Σ(x*y) - n*(mean(x)*mean(y))) / (Σ(x^2) - n*(mean(x)^2))

x-values: 0, 5, 9, 10, 11, 12, 13, 14
y-values: 88, 116, 134, 141, 146, 153, 161

Calculating the sum of these values:
Σ(x) = 0 + 5 + 9 + 10 + 11 + 12 + 13 + 14 = 74
Σ(y) = 88 + 116 + 134 + 141 + 146 + 153 + 161 = 939
Σ(x*y) = (0*88) + (5*116) + (9*134) + (10*141) + (11*146) + (12*153) + (13*161) = 12043
Σ(x^2) = (0^2) + (5^2) + (9^2) + (10^2) + (11^2) + (12^2) + (13^2) + (14^2) = 634

Calculating the mean:
mean(x) = Σ(x) / n = 74 / 8 = 9.25
mean(y) = Σ(y) / n = 939 / 8 = 117.375

Substituting the values into the formula:
slope (m) = (12043 - 8*(9.25)*(117.375)) / (634 - 8*(9.25)^2) = 3.173

Now let's calculate the y-intercept:
y-intercept (b) = mean(y) - slope * mean(x) = 117.375 - 3.173 * 9.25 = 86.445

Therefore, the linear regression equation for the "full service" restaurant is:
y = 3.173x + 86.445 (rounded to three decimal places)