The efficiency for a steel specimen immersed in a phosphating tank is the weight of the phosphate coating divided by the metal loss (both in mg/ft2). An article gave the accompanying data on tank temperature (x) and efficiency ratio (y). Temp. 174 176 177 178 178 179 180 181 Ratio 0.80 1.23 1.46 0.99 0.99 1.16 0.96 1.90 Temp. 184 184 184 184 184 185 185 186 Ratio 1.37 1.50 1.67 2.07 2.25 0.82 1.35 0.80 Temp. 186 186 186 188 188 189 190 192 Ratio 1.79 2.04 2.74 1.45 2.56 3.10 1.93 3.04 (a) Determine the equation of the estimated regression line. (Round all numerical values to five decimal places.) (b) Calculate a point estimate for true average efficiency ratio when tank temperature is 186. (Round your answer to four decimal places.) (c) Calculate the values of the residuals from the least squares line for the four observations for which temperature is 186. (Round your answers to four decimal places.) (186, 0.80) (186, 1.79) (186, 2.04) (186, 2.74) Why do they not all have the same sign? These residuals do not all have the same sign because in the case of the second pair of observations, the observed efficiency ratio was equal to the predicted value. In the cases of the other pairs of observations, the observed efficiency ratios were larger than the predicted value.These residuals do not all have the same sign because in the cases of the first two pairs of observations, the observed efficiency ratios were larger than the predicted value. In the cases of the last two pairs of observations, the observed efficiency ratios were smaller than the predicted value. These residuals do not all have the same sign because in the case of the third pair of observations, the observed efficiency ratio was equal to the predicted value. In the cases of the other pairs of observations, the observed efficiency ratios were smaller than the predicted value.These residuals do not all have the same sign because in the cases of the first two pairs of observations, the observed efficiency ratios were smaller than the predicted value. In the cases of the last two pairs of observations, the observed efficiency ratios were larger than the predicted value. (d) What proportion of the observed variation in efficiency ratio can be attributed to the simple linear regression relationship between the two variables? (Round your answer to four decimal places.)

The efficiency for a steel specimen immersed in a phosphating tank is the weight of the phosphate coating divided by the metal loss (both in mg/ft2). An article gave the accompanying data on tank temperature (x) and efficiency ratio (y). Temp. 174 176 177 178 178 179 180 181 Ratio 0.80 1.23 1.46 0.99 0.99 1.16 0.96 1.90 Temp. 184 184 184 184 184 185 185 186 Ratio 1.37 1.50 1.67 2.07 2.25 0.82 1.35 0.80 Temp. 186 186 186 188 188 189 190 192 Ratio 1.79 2.04 2.74 1.45 2.56 3.10 1.93 3.04 (a) Determine the equation of the estimated regression line. (Round all numerical values to five decimal places.) (b) Calculate a point estimate for true average efficiency ratio when tank temperature is 186. (Round your answer to four decimal places.) (c) Calculate the values of the residuals from the least squares line for the four observations for which temperature is 186. (Round your answers to four decimal places.) (186, 0.80) (186, 1.79) (186, 2.04) (186, 2.74) Why do they not all have the same sign? These residuals do not all have the same sign because in the case of the second pair of observations, the observed efficiency ratio was equal to the predicted value. In the cases of the other pairs of observations, the observed efficiency ratios were larger than the predicted value.These residuals do not all have the same sign because in the cases of the first two pairs of observations, the observed efficiency ratios were larger than the predicted value. In the cases of the last two pairs of observations, the observed efficiency ratios were smaller than the predicted value. These residuals do not all have the same sign because in the case of the third pair of observations, the observed efficiency ratio was equal to the predicted value. In the cases of the other pairs of observations, the observed efficiency ratios were smaller than the predicted value.These residuals do not all have the same sign because in the cases of the first two pairs of observations, the observed efficiency ratios were smaller than the predicted value. In the cases of the last two pairs of observations, the observed efficiency ratios were larger than the predicted value. (d) What proportion of the observed variation in efficiency ratio can be attributed to the simple linear regression relationship between the two variables? (Round your answer to four decimal places.)

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter7: Analytic Trigonometry

Section7.6: The Inverse Trigonometric Functions

Problem 94E

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The efficiency for a steel specimen immersed in a phosphating tank is the weight of the phosphate coating divided by the metal loss (both in mg/ft²). An article gave the accompanying data on tank temperature (x) and efficiency ratio (y).

Temp.	174	176	177	178	178	179	180	181
Ratio	0.80	1.23	1.46	0.99	0.99	1.16	0.96	1.90

Temp.	184	184	184	184	184	185	185	186
Ratio	1.37	1.50	1.67	2.07	2.25	0.82	1.35	0.80

Temp.	186	186	186	188	188	189	190	192
Ratio	1.79	2.04	2.74	1.45	2.56	3.10	1.93	3.04

(a) Determine the equation of the estimated regression line. (Round all numerical values to five decimal places.)

(b) Calculate a point estimate for true average efficiency ratio when tank temperature is 186. (Round your answer to four decimal places.)

(c) Calculate the values of the residuals from the least squares line for the four observations for which temperature is 186. (Round your answers to four decimal places.)

(186, 0.80)
(186, 1.79)
(186, 2.04)
(186, 2.74)

Why do they not all have the same sign?

These residuals do not all have the same sign because in the case of the second pair of observations, the observed efficiency ratio was equal to the predicted value. In the cases of the other pairs of observations, the observed efficiency ratios were larger than the predicted value.These residuals do not all have the same sign because in the cases of the first two pairs of observations, the observed efficiency ratios were larger than the predicted value. In the cases of the last two pairs of observations, the observed efficiency ratios were smaller than the predicted value. These residuals do not all have the same sign because in the case of the third pair of observations, the observed efficiency ratio was equal to the predicted value. In the cases of the other pairs of observations, the observed efficiency ratios were smaller than the predicted value.These residuals do not all have the same sign because in the cases of the first two pairs of observations, the observed efficiency ratios were smaller than the predicted value. In the cases of the last two pairs of observations, the observed efficiency ratios were larger than the predicted value.

(d) What proportion of the observed variation in efficiency ratio can be attributed to the simple linear regression relationship between the two variables? (Round your answer to four decimal places.)

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