Categorical data may or may not have some logical order
while the values of a quantitative variable can be ordered and
measured.
Categorical data examples are: race, sex, age group, and
educational level
Quantitative data examples are: heights of players on a
football team; number of cars in each row of a parking lot
a) Colors of phone cover - quantitative
b) Weight of different phones - quantitative
c) Types of dogs - categorical
d) Temperatures in the U.S. cities - quantitative
<span>Karen got an average of 0.444 hits out of 45 bats.
We need to find the number of hits did Karen got.
=> 45 bats all in all
=> 0.444 average hits
x = how many hit did she get
Now, let’s multiply the total bats to Karen’s average hit:
=> 45 x 0.444 …. (repeating decimals)
=> 20
Therefore, Karen hit 20 times out of 45 bats
Let’s check our answer:
=> 20 / 45
=> 0.44444…. (repeating decimals)
</span>
Answer:
1
Step-by-step explanation:
the y-intercept is -1 since 4-3 is 1
