The amounts of 6 restaurant bills and the corresponding amounts of the tips are given in the table below. Bill: 97.34 106.27 52.44 88.01 70.29 32.98 Tip: 16.00 16.00 7.00 10.00 10.00 4.50 Find the following:  The regression equation is y^= + x. If the amount of the bill is $65, the best prediction for the amount of the tip i

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I need help finding the answers for A,B,and C

Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 2.3 cm. Can the prediction be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05. Overhead Width (cm) Weight (kg) 7.8 175 7.3 9.5 274 7.4 156 9.9 294 9.2 183 256 Click the icon to view the critical values of the Pearson correlation coefficient r. ..... The regression equation is y =+x. (Round to one decimal place as needed.)

Using your favorite statistic software package, you generate a scatter plot with a regression equation and correlation coefficient.  The regression equation is reported as y = - 10.71 x + 65.32 and the r = 0.044. What proportion of the variation in y can be explained by the variation in the values of x? r^2 =     % % to one decimal

Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported asy=−71.07x+16.92y=-71.07x+16.92and the r=−0.52r=-0.52.What percentage of the variation in y can be explained by the variation in the values of x?r² = % (Report exact answer, and do not enter the % sign)

Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Find the best predicted Nobel Laureate rate for a country that has 78.5Internet users per 100 people. How does it compare to the​ country's actual Nobel Laureate rate of 1.1 per 10 million​ people? Internet Users Per 100 Nobel Laureates80.3     5.679.6     24.277.3     8.644.6     0.183       6.138.3    0.190.1   25.189.1   7.680.1   8.983.3   12.753.2   1.976.6   12.756.8   3.379.5   1.591.5   11.493.7   25.465.1   3.157.8   1.967.9   1.794.3   31.785.3   31.387.7   1977.7   10.8

You generate a scatter plot using Excel. You then have Excel plot the trend line and report the equation and the r2r2 value. The regression equation is reported asy=60.71x+33.51y=60.71x+33.51and the r2=0.1764r2=0.1764.What is the correlation coefficient for this data set?r =

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Find the regression​ equation, letting overhead width be the predictor​ (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 2.5 cm. Can the prediction be​ correct? What is wrong with predicting the weight in this​ case? Use a significance level of 0.05.   Overhead Width​ (cm) 7.6 7.4 9.8 8.8 9.3 7.3   Weight​ (kg) 142 163 256 188 231 156       The regression equation is y= + x. ​(Round to one decimal place as​ needed.)   The best predicted weight for an overhead width of 2.5 cm is kg? ​(Round to one decimal place as​ needed.)   Can the prediction be​ correct? What is wrong with predicting the weight in this​ case?     A. The prediction cannot be correct because a negative weight does not make sense. The width in this case is beyond the scope of the available sample data.   B. The prediction cannot be correct because a negative weight does not make sense and because there is…