x + 6 =y
8 =2y ........ y = 8/2 = 4
4+6 =10
John is four & Jose is 10
Answer: Tangent
Explanation: For a circle a tangent is a straight line which touches the circle at only one point. It is also referred to as the line of tangency.
How many builders must be employed to build the house in just 16 days?
Answer:
30 builders
Step-by-step explanation:
80÷5=16
6x5=30
Answer:
Correct option: A. Weight.
Step-by-step explanation:
In regression analysis there are two kinds of variables: Explanatory and Response variable.
The explanatory variable are used to predict the changes in the response variable. They are also known as independent or predictor variable.
The response variable are observed for any changes caused by the explanatory variable. They are also known as the dependent or experimental variable.
In this case it is provided that heavier cars have lower fuel efficiencies.
It implies that there is linear inverse relationship between the variables weight of the car and fuel efficiency.
The response variable is the fuel efficiency and the explanatory variable is the weight of the car. Since the weight of the car is used to determine the fuel efficiency.
Thus, the explanatory variable is the weight of the car.
The explanatory variable in this context is the weight of the car, as it is used to predict or explain the car's fuel efficiency.
In this context, the most naturally considered explanatory or predictor variable would be the weight of the car. This term is used to denote the variable that is used to predict or explain changes or variations in another variable. In this case, the weight of the car is used to predict or explain the fuel efficiency (measured in miles per gallon). For instance, if the weight of a car increases, we would expect the fuel efficiency to decrease (lower mpg) because heavier cars often require more energy to move, which in turn results in higher fuel consumption.
#SPJ3
Answer:
I believe the answer would be BC=3(EF)
Step-by-step explanation:
Answer:
80% confidence interval for the average age of people who attend U of O football games is [42.795 , 44.604].
Step-by-step explanation:
We are given that a sample of 100 attendees and find the average age to be 43.7 years old with a standard deviation of 7 years.
So, the pivotal quantity for 80% confidence interval for the population average start up cost is given by;
P.Q. = ~
where, = sample average age = 43.7 years old
= sample standard deviation = 7 years
n = sample of attendees = 100
= population average age of people
So, 80% confidence interval for the average age of people, is ;
P(-1.2915 < < 1.2915) = 0.80
P(-1.2915 < < 1.2915) = 0.80
P( <
<
) = 0.80
P( <
<
) = 0.80
80% confidence interval for = [
,
]
= [ ,
]
= [42.795 , 44.604]
Therefore, 80% confidence interval for the population average age of people who attend U of O football games is [42.795 , 44.604].