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Actually, two separate points are enough to determine the line.

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13y ago

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How do you write a equation from two data points?

To write an equation from two data points, first identify the coordinates of the points, typically represented as (x₁, y₁) and (x₂, y₂). Calculate the slope (m) using the formula ( m = \frac{y₂ - y₁}{x₂ - x₁} ). Then, use the slope-intercept form ( y = mx + b ) to find the y-intercept (b) by substituting one of the points into the equation. Finally, write the complete equation of the line.


How do you Write an equation in the form of y equals kx for the following data?

There are no "following" data!


A set of data points has an equation of equals -1.5 plus 2.5x?

-1.5


How do you find the equation for the line of best fit?

There are many ways, but probably you aren't in a statistics class, but in an algebra class. Step 1 plot all the data points on a coordinate plane graph (x-y graph) Step 2 estimate a line 'close' to points. Step 3 use 2 points ON THE LINE (these do not need to be data points) Step 4 find slope of line using points from step 3 Step 5 use point-slope formula to write the equation.


How do you write an equation for line of best fit?

To write an equation for a line of best fit, first plot your data points on a scatter plot. Then, use statistical methods like least squares regression to determine the slope (m) and y-intercept (b) of the line. The equation will be in the form of ( y = mx + b ), where ( y ) is the dependent variable, ( x ) is the independent variable, and ( m ) and ( b ) are calculated based on your data. Finally, you can use software or a calculator to help with the calculations if needed.


When obtaining the slope of a line you should not use data points?

When obtaining the slope of a line, particularly in the context of a linear equation, you can derive the slope directly from the equation itself without needing specific data points. The slope is defined as the ratio of the change in the vertical direction (rise) to the change in the horizontal direction (run), which can be identified from the equation in the form (y = mx + b), where (m) represents the slope. However, using data points can help visualize or confirm the slope if the line represents empirical data.


Which equation BEST represents the line of best fit for the scatter plot?

To determine the equation that best represents the line of best fit for a scatter plot, you typically perform a linear regression analysis on the data points. This will yield an equation in the form ( y = mx + b ), where ( m ) is the slope and ( b ) is the y-intercept. The specific equation can vary depending on the data, so it's essential to calculate it based on the given values in the scatter plot. If you have the data points, I can help you derive the equation.


What equation models the data in the table if d number of days and c cost?

To determine the equation that models the data in the table with the variables ( d ) (number of days) and ( c ) (cost), you would typically look for a linear relationship of the form ( c = md + b ), where ( m ) is the slope and ( b ) is the y-intercept. By analyzing the data points in the table, you can calculate the slope using the change in cost divided by the change in days between two points. Once you have the slope, you can use one of the data points to solve for the y-intercept, allowing you to construct the complete linear equation.


Why cant you just connect all the data points?

You could, but you need to decide what the point of doing so would be!


Why is a graph more informative than an equation?

A graph is more informative than an equation because a graph is easier to interpret visually, and find all the points and line them up, rather than just a slope which shows no points(data).


Why is the equation not the equation of a line of best fit for the data set below?

To determine why the equation is not the line of best fit for the given data set, we would need to analyze the residuals and overall fit of the model. If the residuals display a systematic pattern or if the equation fails to minimize the sum of squared differences between the observed data points and the predicted values, it indicates that the equation does not accurately represent the trend in the data. Additionally, if the correlation coefficient is low, it suggests a weak relationship between the variables, further indicating that the equation is not an appropriate line of best fit.


What is a sentence using the word graph?

The graph showed the results from his experiment. You can graph the data points to see what type of curve your equation defines.