Answer:
0.9168
4th data point.
Step-by-step explanation:
Using the estimated data point culled from the attached graph, the correlation Coefficient for the plotted regression data should be approximately 0.9168 which depicts that a strong positive correlation exists between the Electricity bill ($) and the time spent at home because the Coefficient obtained is very close to 1. And the measure if the strength of a relationship using the correlation Coefficient is how close the R value is to either ±1.
The electricity bill that should be ignored to improve the correlation Coefficient is the 4tg data point on the graph as it is farthest away from the regression line when compared to other points.
Answer:
b
Step-by-step explanation:
did it in class
Answer:
(-5, -6)
Step-by-step explanation:
The smaller integer is x.
The larger integer is x + 1.
x + 1 = 7 + 2x
-x = 6
x = -6
x + 1 = -6 + 1 = -5
Answer: (-5, -6)
The answer is 3 for all of them
Answer:
The answer is "experiment."
Explanation:
When it comes to finding out whether a new reading program can increase reading comprehension, an experiment is important. <em>This procedure is being used in order to validate a hypothesis, particularly in a research study.</em> In the situation above, you have to validate whether a new reading program can increase the reading comprehension or not.
The experiment consists of the <em>independent, dependent and controlled variables.</em> The independent variables are the ones being changed by the researcher, while the dependent variables tell whether the changes in the independent variable is significant. The controlled variables are the ones that are constant.
The<u> dependent variable above is the reading comprehension, </u>while the <u>new reading program is the independent variable. </u>Examples of controlled variables are the<u> age</u>s of the participants. The age directly affects the reading comprehension, thus it has to be considered.
