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help me please Day AM High (in feet), x PM High (in feet), y 5.6 4.8 2 5.5 4.8 3 5.4 4.9 4 5.2 5

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Day AM High (in feet), x PM High (in feet), y 5.6 4.8 2 5.5 4.8 3 5.4 4.9 4 5.2 5 5.0 5.1 6 5.2 5.0 7 5.4 4.9 8 5.7 5.0 9 6.0 5.1 10 6.3 5.3 11 6.4 5.4 12 6.5 5.4 13 6.4 5.4 14 6.2 5.31. What is the response variable?| evening high tide levels # 2. What is the regression line equation? (Round each value to the nearest hundredth, if necessary.) y = -1.99127 X + 1.66805 X X 3. We can expect the PM high tide on January 4 to be approximately 5.2 * feet. (Round to the nearest tenth, if necessary.) This is an example of interpolation + 4. The correlation coefficient is (round to the nearest hundredth) -1.991 x . This value means that there is weak negative + X correlation between the AM and PM tide levels. 5. Change the regression model from linear to test and see if an exponential or a quadratic function is a better fit for this data set. It appears that the quadratic + function is a better fit. 6. Use the new equation to estimate the value of the PM high time on January 4. The estimated PM high tide is 6.69 * (Round to the nearest tenth, if necessary.)

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