in an area of the midwest, records were kept on teh relationship between the rainfall (in inches) adn the yeild of wheat (bushels per acre). Which is the best predicted value for y given x=7.3? Assume that the variables x and y have a significant correlation. rainfall in inches x = 10.5,8.8,13.4,12.5,18.8,10.3,7.0,15.6,16.0. Yield bushels per acre y = 50.5,46.2,58.8,59.0,82.4,49.2,31.9,76.0,78.8.
in an area of the midwest, records were kept on teh relationship between the rainfall (in...
In an area of the Midwest, records were kept on the relationship between the rainfall (in inches) and the yield of wheat (bushels per acre). Rain (inches) 10.5 8.8 13.4 12.5 18.8 10.3 7.0 15.6 16.0 Yield (bushels/acre) 50.5 46.2 58.8 59.0 82.4 49.2 31.9 76.0 78.8 Which is the residual for y given x = 16.0? Assume that the variables x and y have a significant correlation.
In an area of the Midwest, records were kept on the relationship between the rainfall (in inches) and the yield of wheat (bushels per acre). Rain (inches) 10.5 8.8 13.4 12.5 18.8 10.3 7.0 15.6 16.0 Yield (bushels/acre) 50.5 46.2 58.8 59.0 82.4 49.2 31.9 76.0 78.8 Which is the residual for y given x = 16.0? Assume that the variables x and y have a significant correlation.
In an area of the Midwest, records were kept on the relationship between the rainfall (in inches) and the yield of wheat (bushels per acre). Rain (inches) 10.5 8.8 13.4 12.5 18.8 10.3 7.0 15.6 16.0 Yield (bushels/acre) 50.5 46.2 58.8 59.0 82.4 49.2 31.9 76.0 78.8 Which is the residual for y given x = 16.0? Assume that the variables x and y have a significant correlation.
In an area of the Great Plains, records were kept on the relationship between the rainfall (in inches) and the yield of wheat (bushels per acre). Calculate the linear correlation coefficient. Round to three decimal places. Rainfall (in inches), 8 6.3 10.9 10 16.3 78 4.5 13.1 13.5 = Yield (bushels per acre), y 46.5 42.2 54.8 55 78.4 45.2 27.9 72 748 O A. 0.981 B. 0.900 OC 0.899 D. 0.998
5) If a couple plans to have eleven children, how many gender sequences are possuble A) 11 C) 2048 B) 121 D) 2.853116706e 11 6) Given the equation of a regression line is y -1.04x 50.3, determine whether there is a positive 6 inear correlation or a negative linear correlation. A) positive linear correlation B negative linear correlation 7) In an area of the Midwest, records were kept on the relationship between the rainfall (in inches) and the yield of...
For several years, farmers in Nebraska have kept track of the amount of rainfall (in inches) and the amount of corn produced (in bushels per acre). A strong and linear relationship has been observed between these variables. When a regression equation is constructed in order to predict amount of corn produced based on rainfall, it is found that the equation has an intercept of 89.54 and a slope of 0.13. From this information, we can conclude that A as amount...
Question 7 Solve the problem. Consider the data set shown below. Find the estimate of the y-intercept of the v 03 23 8 10 11 x -2 0 2 4 6 8 10 1.5 0.94643 0 1.49045 0.9003 n below. Find the estimate of the y-intercept of the least squares regression line 10 11 8 10 tion will save this response. Provide an appropriate response. In an area of the Midwest records were kept on the relationship between the rain...
Question 1. A soil management specialist was studying the relationship between the average temperature (in ºC) and the yield in bushels per acre for a certain crop. The data is given in Table 1 below. Table 1 Region Temperature Yield (in ºC) (in bushels per acre) X Y 1 4 1 2 8 9 3 10 7 4 9 11 5 11 13 6 6 7 Construct a scatter a scatter diagram for the paired data. As temperature increases, does...
Sociology/Criminology/Economics: Records comparing unemployment rates and property crime rates (per 1,000) were gathered in a state for the years 1975 - 2005 (n = 31). Below is the scatterplot, regression line, and corresponding statistics for these 31 years. Property Crime -vs- Unemployment x = Unemployment Rate (in %) y = Property Crime Rate (in crimes per 1,000 people) correlation coefficient: r = 0.8140 regression equation: ŷ = 2.59x + 28.8 sample size: n = 31 Answer the following questions...
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-0.949 b=30.119 r2=0.597529 r=-0.773 Assume the correlation is significant, and use this to predict the number of situps a person who watches 10 hours of TV can do (to one decimal place)