In a trendline based on five observations, if the average of Y is 100 and the slope of the line is 24 then the intercept is:
A. 28
B. 30
C. 32.
D. None of the above.
In a trendline based on five observations, if the average of Y is 100 and the...
In a trendline based on five observations, if the average of Y is 100 and the slope is 14 then the intercept is A. 52 B. 54 C. 56 D. 58
In a trendline based on four observations, if he average of Y is 80 and the slope of the line is 24 then the intercept is : A. 20 B. 30 C.40 D. None of the above.
In a trendline based on four observations, if the average of Y is 80 and the slope of the line is 20 then the intercept is: A.30 B.40 C.50. D.60
Given are five observations for two variables, x and y. xi 1 2 3 4 5 У|4751216 c. Develop the estimated regression equation by computing the the slope and the y intercept of the estimated regression line (to 1 decimal) d. Use the estimated regression equation to predict the value of y when x- 4 (to 1 decimal)
Procedure Use the following sets of data and work with each one. The equation for a linear graph is y mx+b, where m is the slope and b is the y-intercept. DATA SET 1: Fahrenheit-vs- Celsius Fahrenheit Celsius 32 68 104 140 176 0 20 40 60 80 1. Using Data Set 1 above, graph Fahrenheit (y) -vs- Celsius (x), using the scatterplot function in excel, or another graphing software. Make sure you label the axes. Fahrenheit should be on...
#2 between two quantities can be established. Procedure: Use the following sets of data and work with each one. The equation for a linear graph is y mx+b, where m is the slope and b is the y-intercept DATA SET 1: Fahrenheit-vs-Celsius Fahrenheit Celsius 32 68 104 140 176 0 20 40 60 80 1. Using Data Set 1 above, graph Fahrenheit (y)-vs- Celsius (x), using the scatterplot function in excel, or another graphing software. Make sure you label the...
2.3*) Graph the following observations of x and y on graph paper. X 12 3 4 5 6 la 10 8 55 23 bole (a) Using a ruler, draw a line that fits through the data. Measure the slope and intercept of the line you have drawn. (b) Use formulas (2.7) and (2.8) to compute, using only a hand calculator, the least squares estimates of the slope and the intercept. Plot this line on your graph. (c) Obtain the sample...
Below you are given a partial computer output based on a sample of fifteen (15) observations. ANOVA df SS Regression 50.58 Residual Total 14 106.00 Coefficients Standard Error tstat p-value 0.0000 Intercept 16.156 1.42 0.26 -0.903 0.0000 Variable x The estimated regression equation (also known as regression line fit) is O Y = B0+ B1X1 + E, O EY) = B0+ B 1X1 + B 2X2 Ý = -0.903 + 16.156X1 Ý = 1.42 + 0.26X1 none of the above
Given are five observations for two variables, x and y. xi 1 2 3 4 5 yi 3 7 8 11 14 Which of the following scatter diagrams accurately represents the data? 1. 2. 3. SelectScatter diagram #1Scatter diagram #2Scatter diagram #3Item 1 What does the scatter diagram indicate about the relationship between the two variables? SelectThere appears to be a linear relationship between x and yThere appears to be a nonlinear relationship between x and yItem 2 Try to...
33. Based on the regression In Y, =a+ß, In X, , where Y is the quantity of beef and X is beef price, and "In" stands for natural logarithm, we obtain the following regression output based on 100 observations: Dependent Variable: In Y Variable Intercept In X Parameter Estimate (a) ? -0.20 Standard Error t-value 2.175 1.300 0.0341 -5.865 r?: 0.258 What are the degrees of freedom in this model? a. 100. b. 2. c. 99. d. 98. e. Cannot...