Answer:
a. is not found to be significant.
Step-by-step explanation:
Regression analysis is a statistical technique which is used for forecasting. It determines the relationship between two variables. It determines the relationship of two or more dependent and independent variables. It is widely used in stats to find trend in the data. It helps to predict the values of dependent and independent variables. In the given question, there are 25 observations and the regression equation is given. X and Y are considered as dependent variables.
I suppose that the result is 4000 cm^3 Because 1 liter = 1000 cubic centimeters. Therefore, 4 liters = 4* 1000 cubic centimeters = 4000 cm^3.
In Addition, there is another way to figure out, which is that 1 mL ( milliliters) is equivalent to 1 cubic centimeter. so, If there is 1,000 mL in a Liter then it’s possible to have 4,000 mL in 4 liters. Therefore, 4 liters = 4000 cm^3. Hope this helps.
Answer:
7 years
Step-by-step explanation:
Because there is no graph, I will just tell you how many years it should take, and you can probably figure it out from there. To start, let's [get out a calculator] find out what 2% of 250 is. This is 5, so we can add 5. Notice that adding 5 to the number does not change 2% of it by much, only by 5/50 or 0.1. So, we can keep adding until we get above 282, which should take 285 minus 250 over 5 times, or 7. So, the answer is 7 years. You can [get out a calculator] and find out that it is indeed 7 years.
Answer:
Probability that at most 50 seals were observed during a randomly chosen survey is 0.0516.
Step-by-step explanation:
We are given that Scientists conducted aerial surveys of a seal sanctuary and recorded the number x of seals they observed during each survey.
The numbers of seals observed were normally distributed with a mean of 73 seals and a standard deviation of 14.1 seals.
Let X = <u><em>numbers of seals observed</em></u>
The z score probability distribution for normal distribution is given by;
Z = 
~ N(0,1)
where, 
= population mean numbers of seals = 73
= standard deviation = 14.1
Now, the probability that at most 50 seals were observed during a randomly chosen survey is given by = P(X 
50 seals)
P(X 50) = P( 
) = P(Z -1.63) = 1 - P(Z < 1.63)
= 1 - 0.94845 = <u>0.0516</u>
The above probability is calculated by looking at the value of x = 1.63 in the z table which has an area of 0.94845.
you have to add 90 +90 3 times then theres your answer :)
