Answer:
2, 3
Step-by-step explanation:
The graph of quantities in direct proportion.
Is a straight line passing through the origin, thus
the line always crosses the y- axis at |(0, 0 )
Thus the y- intercept is 0
Answer:
1.23
Step-by-step explanation:
They already give u the amount of oz in a gram, so you would want to multiply 0.035 by 37.
Answer:
11.11 is your answer
Step-by-step explanation:
Answer:
1) Increase the sample size
2) Decrease the confidence level
Step-by-step explanation:
The 95% confidence interval built for a sample size of 1100 adult Americans on how much they worked in previous week is:
42.7 to 44.5
We have to provide 2 recommendations on how to decrease the margin of Error. Margin of error is calculated as:

Here,
is the critical z-value which depends on the confidence level. Higher the confidence level, higher will be the value of critical z and vice versa.
is the population standard deviation, which will be a constant term and n is the sample size. Since n is in the denominator, increasing the value of n will decrease the value of Margin of Error.
Therefore, the 2 recommendations to decrease the Margin of error for the given case are:
- Increase the sample size and make it more than 1100
- Decrease the confidence level and make it lesser than 95%.
Answer: The response variable = Volume
and explanatory variable(s) in this study are: Height and Diameter.
Step-by-step explanation:
Important definitions:
- The explanatory variable is a type of independent variable manipulated by the experimenter for the ongoing experimental study.
- The response variable is a type of dependent variable which depends on the explanatory values provided by the experimenter.
Given: A forester wishes to predict the volume (in cubic feet) of usable lumber in a certain species of tree using the height (in feet) and diameter (in inches) of the trees.
Here, Volume directly depends upon the height and diameter of the tree.
Also, forester ( Experimenter) wants to predict volume by cutting tree that means it is an response variable and it depends on height and diameter , so height and diameter are explanatory variable.
Hence, The response variable = Volume
and explanatory variable(s) in this study are: Height and Diameter.