Answer:
-1/3
Step-by-step explanation:
y=mx+b where m=slope and b=y-intercept
Answer:
<u>Options B and D</u>
Step-by-step explanation:
6x² + x - 1 = 0
6x² + 3x - 2x - 1 = 0
3x(2x + 1) - 1(2x + 1) = 0
(3x - 1)(2x + 1)
x = 1/3 and -1/2
<u>Options B and D</u>
Answer:
<h3>
"In a linear regression model, the variable that is being predicted or explained is known as <u>
_dependent variable</u>
It is denoted by y and is often referred to as the response variable".</h3>
Step-by-step explanation:
Given that "In a linear regression model, the variable that is being predicted or explained is known as <u>dependent variable</u> It is denoted by y and is often referred to as the response variable".
- Because linear regression models for variables are used to explain or predict the relationship between two variables.
- The variable in the given model that is being predicted is called the dependent variable.
Answer:
$25
Step-by-step explanation:
she received$12 five times
12×5=60 ...(1)
she earned$5 two times for yard work
5×2=10....(2)
(1)+(2).... 60+10=70
Bought dog food and ticket
30+15=45
70-45=25
Answer $25 is what she is left with at the end of the month
Answer:
c) 62.
Step-by-step explanation:
Let x represent number of customers came in on the fifth day.
We have been given that the mean number of customers for those four days is 52. So total number of customers on 4 days would be 4 times 52 that is 208 customers.
We know that mean of a data set is equal to sum of all data points divided by number of data points.
Total number of customers on 5 days would be 
and total number of days is 5.
Since we need a mean of 54, so we can set mean of 5 days equal to 54 as:
Multiply both sides by 5:
Therefore, 62 customers must come in on the fifth day to make the five-day mean 54 and option 'c' is the correct choice.
