1. The following data are annual precipitation amounts (inches)from nine rain gauge stations at various elevations (ft) in theWillamette Valley climate zone.StationBeavertonPortlandEstacadaHillsboroOregonCityHeadworksRexWillametteDilleyElevation(ft)27020410160170750520150170Precipitation(in)39.7736.3259.2837.5747.0679.541.3740.7844.2(a) Calculate the mean and standard deviation of elevation andprecipitation.(b) Plot measured precipitation values (y-axis) against elevation(x-axis) in excel.(c) What is regression equation using precipitation (ppt) as adepe ent variable (Y) and elevation as an explanatory variable(X). In other words, the form of the equation will look like Y = a +bX. State the physical meaning of a (Y intercept) and b (slope ofthe regression).(d) Is this a significant relationship? How do you tell? How welldoes precipitation amount track changes in elevation? How canyou quantify this relationship?(hint: In Excel, go to data analysis under the tools menu. Highlightregression, click OK. You then need to assign input X and Yranges. A new sheet will report the ANOVA table. Readsignificance F, and see whether the F value is greater than 0.05).

ElevationPrecipitation27039.772036.3241059.2816037.5717047.0675079.552041.3715040.7817044.2Mean and…

1. The following data are annual precipitation amounts (inches) from nine rain gauge stations at various elevations (ft) in the Willamette Valley climate zone. Station Beaverton Portland Estacada Hillsboro Oregon City Headworks Rex Willamette Dilley Elevation Precipitation (ft) 270 20 410 160 170 750 520 150 170 (in) 39.77 36.32 59.28 37.57 47.06 79.5 41.37 40.78 44.2 (a) Calculate the mean and standard deviation of elevation and precipitation. (b) Plot measured precipitation values (y-axis) against elevation (x-axis) in excel. (c) What is regression equation using precipitation (ppt) as a dependent variable (Y) and elevation as an explanatory variable (X). In other words, the form of the equation will look like Y = a + bX. State the physical meaning of a (Y intercept) and b (slope of the regression). (d) Is this a significant relationship? How do you tell? How well does precipitation amount track changes in elevation? How can you quantify this relationship? (hint: In Excel, go to data analysis under the tools menu. Highlight regression, click OK. You then need to assign input X and Y ranges. A new sheet will report the ANOVA table. Read significance F, and see whether the F value is greater than 0.05).

1. The following data are annual precipitation amounts (inches) from nine rain gauge stations at various elevations (ft) in the Willamette Valley climate zone. Station Beaverton Portland Estacada Hillsboro Oregon City Headworks Rex Willamette Dilley Elevation Precipitation (ft) 270 20 410 160 170 750 520 150 170 (in) 39.77 36.32 59.28 37.57 47.06 79.5 41.37 40.78 44.2 (a) Calculate the mean and standard deviation of elevation and precipitation. (b) Plot measured precipitation values (y-axis) against elevation (x-axis) in excel. (c) What is regression equation using precipitation (ppt) as a dependent variable (Y) and elevation as an explanatory variable (X). In other words, the form of the equation will look like Y = a + bX. State the physical meaning of a (Y intercept) and b (slope of the regression). (d) Is this a significant relationship? How do you tell? How well does precipitation amount track changes in elevation? How can you quantify this relationship? (hint: In Excel, go to data analysis under the tools menu. Highlight regression, click OK. You then need to assign input X and Y ranges. A new sheet will report the ANOVA table. Read significance F, and see whether the F value is greater than 0.05).

Mathematics For Machine Technology

8th Edition

ISBN:9781337798310

Author:Peterson, John.

Publisher:Peterson, John.

Chapter29: Tolerance, Clearance, And Interference

Section: Chapter Questions

Problem 16A: Spacers are manufactured to the mean dimension and tolerance shown in Figure 29-12. An inspector...

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