3. a. What trend line, in slope-intercept form, models the data from the Example 2 Try it?
b. Explain why there could be no data points on a trend line,
yet the line models the data.
EXAMPLE 2 Understand Correlation
How can the relationship between the hours after sunrise, x, and the
temperature, y. be modeled?
The data points on the scatter plot approximate a line. Sketch a trend line
that best fits the data to determine whether a linear function can model the
relationship
Temperature After Sunrise
dy
72
I
68
Temperature (7)
The trend line suggests
that a linear function can
model the relationship
64
60
2 4 6 8 10
Hours After Sunrise

nada

step-by-step explanation:

correct choice is b

step-by-step explanation:

when you calculate the average rate of change of a function, you are finding the slope of the secant line between the two points. for the function the average rate of change from point to point can be calculated as

to find the average rate of change from day 2 to day 10, note that at day 2, 8 houses were sold, so a(2,8) and at day 10, 2 houses were sold, so b(10,2). thus,

beluga wheeeaaalle matt

step-by-step explanation:

a) at most means it can cost $12 or less

so the inequality sign would be ≤

you would then need to multiply the number of toppings by the 0.35 for each one and add it to the cost of the cheese pizza.

the equation would be 9.99 + 0.35x ≤ 12

b) using the above equation:

9.99 + 0.35x ≤ 12

subtract 9.99 from each side:

0.35x ≤2.01

divide both sides by 0.35:

x ≤ 2.01 / 0.35

x ≤5.74

at most you could have 5 toppings.

the 5 topping pizza would cost: 0.35 x 5 = 1.75 + 9.99 = $11.74