Answer:
-2.09375
Step-by-step explanation:
Answer:
The answer would be 69.5ft^2
Step-by-step explanation:
It would be greatly appreciated if you gave me brainlest
There's two possible ways to find the answer to this. First you can find a common denominator to reduce both to. In this case, they can both reduce to a common denominator of 8. So 6/16 reduces to 3/8 and 30/80 also reduces to 3/8, so they are equal. The other way is to use a calculator and turn them into decimals by dividing the numerator by the denominator. They both come out to be .375. Once again they are equal. You can use whichever method is easier for you.
Answer: b. Damarias median sale is $52
Step-by-step explanation:
Hi, the correct option is b. Damarias median sale is $52.
If we rank the sales order from lowest to highest
28 46 48 48 52 52 59 60 71 192
Since 52 is the middle value, it's the median, because 4 sales are above it and 4 sales are below it.
Feel free to ask for more if needed or if you did not understand something.
Answer:
Kindly check explanation
Step-by-step explanation:
Given that :
Correlation Coefficient (r) = 0.989
alph=0.05
Number of observations (n) = 8
determine if there is a linear correlation between chest size and weight.
Yes, there exists a linear relationship between chest size and weight as the value of the correlation Coefficient exceeds the critical value.
What proportion of the variation in weight can be explained by the linear relationship between weight and chest size?
To determine the the proportion of variation in weight that can be explained by the linear regression line between weight and chest size, we need to obtain the Coefficient of determination(r^2) of the model.
r^2 = square of the correlation Coefficient
r^2 = 0.989^2 = 0.978121
Hence, about 0.978 (97.8%) of the variation in weight can be explained by the linear relationship between weight and chest size.
