The data show the time intervals after an eruption (to the next eruptuon) of a certain geyser.   A) find the regression equation, letting the first variable be the independent (x) variable.  Find the best predicted time of the interval after an eruption  given that the current eruption has a height of 143 feet. B) Is there outliers C) use a 0.05 significance level to determine how strong is the correlation.  Height (ft)  115. 133.  137. 140. 99. 112. 108. 126 Interval after (min) 75  85 94 85 66  88. 68. 82

Which of the following denotes the slope or the regression coefficient for X?       A) The term a       B) The term b       C) The error term       D) The correlation coefficient, r

The accompanying data are the length​ (in centimeters) and girths​ (in centimeters) of 12 harbor seals. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. If the​ x-value is not meaningful to predict the value of​ y, explain why not. ​(a) x=140 cm ​(b) x=172 cm ​(c) x=164 cm ​(d) x=158 cm Length, x    Girth, y138    106168    130153    116144    105159    126158    119124    103137    103154    121148    111147    106145    110 The equation of the regression line is y=____x + ___

Data were recorded for 117 months on a household's gas bill (in dollars) and the average monthly temperatures for its neighborhood. The mean monthly temperature was 48.7°F with a standard deviation of 20.6. The mean gas bill price was $81.20 with a standard deviation of 66.5. The correlation coefficient between monthly temperature and gas bill price is -0.92. 22) Determine the correct value of the slope for the linear model that predicts gas bill price from monthly temperature and interpret it in context. The slope is - 2.97. For every one degree increase in monthly temperature, the gas bill price is predicted to decrease by $2.97. The slope is - 0.28. For every one degree increase in monthly temperature, the gas bill price is predicted to decrease by $0.28. The slope is - 2.97. For every one dollar increase in gas bill price, the monthly temperature is predicted to decrease by 2.97°. The slope is - 0.28. For every one dollar increase in gas bill price, the monthly temperature…

For the paired data below, do a complete regression analysis:  a) Compute the value of the correlation coefficient. b) Use the Critical Value (CV) from the table to determine if there is a significant linear correlation. c) Determine the linear regression equation.