10 less then 'n' is a way of saying take ten away from 'n'.
it represents subtraction
basically n - 10
<span>5695.</span>
<span>I would round like this 70 times 90 and I would get 6300!</span>
Answer:
E IS THE CORRECT ANSWER
The R-squared is 0.64 and it means that the dependent value explains 64% of the independent value in the simple regression analysis
Step-by-step explanation:
R-Squared value is a very important indicator in a regression analysis.
What does it measure?
It measures how close to the line of best fit are the data points. How good the fitted line is can be indicated by the value of the r-squared.
The maximum value it can take is 1 and at this value, there is a direct and complete relationship between the independent variable x and the dependent variable y. The value 1 represents an 100% relationship between both parties.
The r-squared has a value of between 0 and 100%. The closer to 100, the better the model while the closer to 100, the more faulty the model is. In fact, a value of 0 indicates no relationship at all between the dependent and the independent variable.
With an R-squared value of 0.64, the regression model works above average to explain that the dependent variable explains 64% of the independent value in the simple regression analysis.
Answer:
<h2>Independent variable: Weight of Onions.</h2><h2>Dependent variable: Total Cost.</h2>
Step-by-step explanation:
The given table is about the weight of onions in pounds and the total cost.
If you think this through, you would notice that the total cost depends on the number of pounds of onions. That means the independent variable is Weight of Onions and the dependent variable is the Total Cost.
So, to put it in a sentence: The weight of onions determines the total cost.
Step-by-step explanation:
i.1+y<25
y<25-1
y<24
ii.101+6y>200
6y>200−101
6y>99
y>99/6
y>33/2