How could you change this line to be a better line of best fit for the data plot?
(1 point)
Responses
Keep it parallel and move it up through the center of the data.
Keep it parallel and move it up through the center of the data.
Make it a negative sloped line to better show the trend in the data.
Make it a negative sloped line to better show the trend in the data.
Keep it parallel and move it down so that the points are equal above and below the line.
Keep it parallel and move it down so that the points are equal above and below the line.
Make it less steep to hit at least one of the data points.
Make it less steep to hit at least one of the data points.
Make it steeper to hit the most points possible.
Make it less steep to hit at least one of the data points.
How could you change this line to be a better line of best fit for the data plot?
(1 point)
Responses
Keep it parallel and move it up through the center of the data.
Keep it parallel and move it up through the center of the data.
Make it a negative sloped line to better show the trend in the data.
Make it a negative sloped line to better show the trend in the data.
Keep it parallel and move it down so that the points are equal above and below the line.
Keep it parallel and move it down so that the points are equal above and below the line.
Make it less steep to hit at least one of the data points.
Make it less steep to hit at least one of the data points.
Make it steeper to hit the most points possible.
Make it less steep to hit at least one of the data points.
what score is 22 out of 37
To calculate the score of 22 out of 37 as a percentage, you divide 22 by 37 and then multiply by 100.
(22/37) * 100 = 59.46%
Therefore, a score of 22 out of 37 is approximately 59.46%.
To change the line to be a better line of best fit for the data plot, you can consider the following options:
1. Keep it parallel and move it up through the center of the data: This means adjusting the line vertically so that it passes through the center of the data points. By keeping it parallel to the original line, you maintain a similar slope.
2. Make it a negative sloped line to better show the trend in the data: If the data shows a downward trend, you can change the slope of the line to be negative. This better reflects the overall trend in the data.
3. Keep it parallel and move it down so that the points are equal above and below the line: This option is useful when you want to create a line that equally balances the points above and below it. By moving the line down, you ensure that the same number of data points are above and below the line.
4. Make it less steep to hit at least one of the data points: If there is a specific data point you want the line to pass through, you can adjust the slope to be less steep. This will increase the chances of the line hitting that particular data point.
5. Make it steeper to hit the most points possible: If you want the line to pass through as many data points as possible, you can increase the slope to make it steeper. This way, the line will intersect with a larger number of points.
Consider the characteristics of your data and the purpose of the line of best fit to determine which adjustment would make it a better fit.