Multiply length time width, and make sure you square your answer!
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Fill in the blanks :-
⇒ First graph the line. Locate the <u>value of x </u>on the x-axis. Draw a vertical line from <u>point plotted on the x-axis </u>to the graph of the function and a horizontal line segment from the graph of the function to the y-axis.
<em>Find the value of f(x) when x is -2. </em>

Remember :- <u><em>f(x) is basically the y-value. It is just denoted as _f(x), it stands for function of x. Which means, the value of y, depends upon the value of x or the function of x. </em></u>
Given : x = - 2
Plugging in the values :
... 
... 
... 
The last fill in the blank :
The value of y on the y-axis is the value of the function. Therefore, the value of f(x) is <u>-7 </u>when x is -2.
Hope it helps!!
The answer is 90,000.
The value of 9 in 495,123 is 10,000 times the value of 9 in 63,129
Predictor variable: proximity from primary residence to farmland (in miles) outcome variable: animal rights opinion (scale from 0-50) correlation coefficient is the appropriate inferential statistic.
What is a predictor and response variable?
- Response or dependent variables are the variables that are of interest in an experiment and are measured or observed.
- Predictor, explanatory, or independent variables are any additional factors in the experiment that may be controlled or assessed by the researcher and have an impact on the answer.
What is a predictor variable example?
In personnel selection, for example, predictors such as qualifications, relevant work experience, and job-specific abilities (e.g., computer competence, ability to speak a certain language) may be used to estimate an applicant's future job performance.
Is a predictor variable dependent or independent?
- The risk factors and confounders are referred to as the predictors, or explanatory or independent variables, whereas the outcome variable is also known as the response or dependent variable.
- The independent variables are designated by "X" while the dependent variable is denoted by "Y" in regression analysis.
Learn more about predictor variable
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