Question

module 24 - making inferences from data
essential question: how can making inferences from data help solve real - world problems?
are you ready? #24 - complete these exercises to review skills you will need for this module,
trend lines and predictions
example 1
a pet store asked loyal
customers the weight of their
dog and monthly budgeted
expenses for owning it. the
scatter plot shows the results
of this survey with a line of
best fit. approximate the
monthly cost of a dog
weighing 40 pounds.
according to the graph, when
$x = 40$ lbs, the expected
monthly cost is about $75.
find the expected monthly cost of owning a dog at the given weight.

1. $60$ lb
2. $100$ lb
3. $150$ lb

Explanation:

Step1: Locate \(x = 60\) on the weight axis

Move vertically until intersecting the line of best fit, then horizontally to the cost axis.

Step2: Locate \(x = 100\) on the weight axis

Move vertically until intersecting the line of best fit, then horizontally to the cost axis.

Step3: Locate \(x = 150\) on the weight axis

Move vertically until intersecting the line of best fit, then horizontally to the cost axis.

Answer:

1. \(\$100\)
2. \(\$150\)
3. \(\$225\)