Answer:
4.09
Step-by-step explanation
since negatives over power positive numbers
-6.8+(-2.71) - will simplify plus into minus
-6.8 - 2.71 - now just subtract
6.8-2.71=4.09
Answer:
You already wrote the equation
Step-by-step explanation:
Answer: alternative D.
Step-by-step explanation: The two correct alternatives are A and B, which state that a larger sample would fit into the 95% confidence interval with a smaller margin of error, since<u> the more samples, the less is the deviance from its calculated average value</u>. If the sample size is bigger and the margin of error smaller, the tendency to choose randomly one individual and having a result closer to the true value of the average hormone level increases.
First subtract the weight the dog weighs now to the weight he was:
48.9
- 29.7
------------
19.2
Then take the number you got which is the weight the dog gain in total, and divide it by the months the dog gained weight to get the average weight gained each month:
19.2/8 = 2.4
The average weight gain each month was 2.4 pounds.
Hope this helped you!
Answer:
58.6% of the variation in length (in cm) of new born boys and their weight (in kg) is explained by the line of best fit.
Step-by-step explanation:
Given the following :
R² value = 58.6% comparing the length (cm) of new born boys to their weight (kg)
The R² value is called the Coefficient of determination. It is obtained by taking the square of the correlation Coefficient (R). The value gives the proportion of Variation between the independent and dependent variables which is explained by regression line. In the scenario above, the R² value means that 58.6% of the variation in length in centimeter of new born boys and their weight (in kg) is explained by the line of best fit. While (100% - 58.6% = 41.4%) is due to other factors.
