It seems like you're asking for help with finding the least squares regression line based on specific points from a table. However, you didn't provide the actual data points or table for me to analyze.
To calculate the least squares regression line, you typically need a set of points in the form of (x, y). Once you have the data, you can follow these steps:
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Calculate the means of x and y. \[ \bar{x} = \frac{\Sigma x}{n}, \quad \bar{y} = \frac{\Sigma y}{n} \] where \(n\) is the number of points.
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Calculate the slope (m) of the regression line. \[ m = \frac{\Sigma (x_i - \bar{x})(y_i - \bar{y})}{\Sigma (x_i - \bar{x})^2} \]
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Calculate the y-intercept (b) of the regression line. \[ b = \bar{y} - m\bar{x} \]
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Formulate the least squares regression line equation. \[ y = mx + b \]
If you can provide the data points or table you're referring to, I can assist you further with the specific calculations to find the least squares regression line and round to the nearest hundredth if necessary.