Answer:
No
Step-by-step explanation:
Assuming that the x- and y- axes are respectively horizontal and vertical, a vertical line has an undefined slope and cannot be diagonal.
Note that only a diagonal line can have a slope defined.
Answer:
1. The sum of the residuals is always close to zero.
2.The coefficient of determination measures how much of the variation in the y-values is explained by the regression line.
3. In the equation of the least-squares regression line, y hat is a predicted value when x is known
Step-by-step explanation:
The least square regression line is a line that makes distance from data points to the regression line to be as minimal as possible. This line is a best fit for the data points. Let's say we have a collection of numbers and a scatter plot, this line is a line that exists and best fits the data.
Therefore, the least square regression line minimizes sum of squared error to be close to zero. R² measures the extent to which variations in the value of y is explained by the regression line. In the equation of this line, y hat is a predicted value when x is known.
<em>Exterior angle of the triangle is equal to the sum of the opposite angles.</em>
9x = 5x + 9 + x
<em>Combine like terms:</em>
9x = 6x + 9
<em>Take away 6x from both sides:</em>
3x = 9
<em>Divide by 3 on both sides:</em>
x = 3
Answer: x = 3
Answer:
342
Step-by-step explanation:
Notice that each term is increasing by 7
Also notice that we already have 4 terms, meaning we have to find the remaining 62 terms
Multiply 62 by 7
62 x 7 = 434
Add that number to the first term, -92
-92 + 434 = 342