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When coastal power stations take in large quantities of cooling water, it is inevitable that a number of fish are drawn in with the water. Various methods have been designed to screen out the fish. A particular article examined intake fish catch at an English power plant and several other variables thought to affect fish intake. y = fish intake (number of fish)x1 = water temperature (°C)x2 = number of pumps runningx3 = sea state (values 0, 1, 2, or 3)x4 = speed (knots) Part of the data given in the article were used to obtain the estimated regression equation(based on n = 26). SSRegr = 1486.6 and SSResid = 2230.1 were also calculated. (a) What proportion of observed variation in fish intake can be explained by the model relationship? (Round your answer to four decimal places, if needed.)R2 = (b) Estimate the value of σ. (Round your answer to three decimal places, if needed.)se = (c) Calculate adjusted R2. (Round your answer to four decimal places, if needed.)Adjusted R2 = Adjusted R2…

Let s be a person's annual salary (in thousands of dollars) after she has worked for t years at a company. Some pairs of values of t and s are shown in the table below. t (years) 0 1 3 6 s (thousands of dollars) 54 57 63 72 a) Create a scattergram of the data. b) Draw in a linear model on the same grid. c) Use your graph to estimate when the person's salary will be $66 thousand. (Show your work on the graph.) d) What is the s-intercept of the model? Interpret it in terms of this application.

Given the data as shown in the table below X Y 2 12 10 4 10 Use technology to graph the scatterplot and the best-fit line of the data. Find your corect graph below

Given the estimated linear model shown below, complete the following computations. y = 11 + 6x, + 2x2 + 3x3 Compute y when x, = 31, x2 = 9, and x3 = 23.

I need the right answer to a and b.