Answer:
B. 
Sam must hit at least 24 runs in 6th season to qualify for the home run trophy.
Step-by-step explanation:
Let H be number of runs Sam hits in 6th season.
We have been given that Sam wants to be named the greatest home run hitter of his baseball league. In the past 5 seasons he has hit 24, 20, 23, 20, and 21 home runs, respectively.
Let us find the number of runs scored by Sam adding the number of hits in his past 5 seasons.

We are told that to qualify for the home run trophy he must average at least 22 home runs in 6 seasons. So to qualify this season Sam's average must be greater than or equal to 22.
We can represent this information in an inequality as:

Let us solve our inequality to find the least number of runs Sam must hit to qualify.
Multiplying both sides of our inequality by 6 we will get,



Therefore, Sam must hit at least 24 runs this 6th season to qualify for the home run trophy.
Answer: Dependent Variable sowwy if im wrong
Step-by-step explanation: Linear regression models are used to show or predict the relationship between two variables or factors. The factor that is being predicted (the factor that the equation solves for) is called the dependent variable.
Answer:
B or D ( answer = 5 => Two options is one! One of the options should be 5)
Note: The width of a rectangle will never be negative.
Answer:
6
Step-by-step explanation:
The GCF of 42 and 12 is 6