5/8 = 2m + 3/8
if 7x +5 = -2 find the value of 8x
Answer:
HIiii
Step-by-step explanation:
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I need help quickly.
B. 15 square yards
C. 30 square yards
D. 54 square yards
Answer:
The answer is A) 6 square yards.
Answer:
-6n + 5 = 59
-6n = 54
n = -9
Answer: n = -9
Step-by-step explanation: you subtract the 5 from both sides leaving the equation to -6n=54. then you divide both sides by -6 leaving it with n = -9
Answer:
Within the parlance of Statistics, this is called Nominal Data.
Other examples of nominal data are:
Cheers
Answer:
Option A The linear model on tar content accounts for 92.4% of the variability in nicotine content.
Step-by-step explanation:
R-square also known as coefficient of determination measures the variability in dependent variable explained by the linear relationship with independent variable.
The given scenario demonstrates that nicotine content is a dependent variable while tar content is an independent variable. So, the given R-square value 92.4% describes that 92.4% of variability in nicotine content is explained by the linear relationship with tar content. We can also write this as "The linear model on tar content accounts for 92.4% of the variability in nicotine content".
The Upper R squared or the coefficient of determination here represents the percentage of the variability in the nicotine content that can be explained by the tar content in the regression model, which in this case is 92.4%.
In this context, the meaning of Upper R squared is represented by option A. The linear model on tar content accounts for 92.4% of the variability in nicotine content. This indicates that 92.4% of the change in nicotine content can be explained by the amount of tar content based on the linear regression model used. This measure is also known as the coefficient of determination. Meanwhile, options B, C, and D are not correct interpretations of the R squared in this context. Both B and D wrongly relate the percentage to the predictability of the data points and option C incorrectly associates this percentage with the residual magnitude.
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