3. You would like to determine if there is a statistical relationship between the amount of caffein in a cup of coffee and their sales at their coffee franchises. The data is included in the set "Coffee by the Cup". Here is information about the variables. Variable Units Measurement Amount of caffeine in one cup Caffeine Milligrams Cups Sold Number of cups of the coffee Cups sold sold at all of the franchises a. Which variable is the explanatory variable and which variable is the response variable? b. Construct a scatterplot of the data. Based upon the scatterplot is there a linear relationship between the amount of caffeine in one cup of the coffee and the number of cups of coffee sold? Justify your reasoning using the scatterplot. c. Run a t-test for correlation using technology. Make sure you include the p-value and the printout. According to the t-test, is there a statistical relationship between the amount of caffeine in a cup of coffee and the number of cups sold? Justify your reasoning using the results of the test.
Family of Curves
A family of curves is a group of curves that are each described by a parametrization in which one or more variables are parameters. In general, the parameters have more complexity on the assembly of the curve than an ordinary linear transformation. These families appear commonly in the solution of differential equations. When a constant of integration is added, it is normally modified algebraically until it no longer replicates a plain linear transformation. The order of a differential equation depends on how many uncertain variables appear in the corresponding curve. The order of the differential equation acquired is two if two unknown variables exist in an equation belonging to this family.
XZ Plane
In order to understand XZ plane, it's helpful to understand two-dimensional and three-dimensional spaces. To plot a point on a plane, two numbers are needed, and these two numbers in the plane can be represented as an ordered pair (a,b) where a and b are real numbers and a is the horizontal coordinate and b is the vertical coordinate. This type of plane is called two-dimensional and it contains two perpendicular axes, the horizontal axis, and the vertical axis.
Euclidean Geometry
Geometry is the branch of mathematics that deals with flat surfaces like lines, angles, points, two-dimensional figures, etc. In Euclidean geometry, one studies the geometrical shapes that rely on different theorems and axioms. This (pure mathematics) geometry was introduced by the Greek mathematician Euclid, and that is why it is called Euclidean geometry. Euclid explained this in his book named 'elements'. Euclid's method in Euclidean geometry involves handling a small group of innately captivate axioms and incorporating many of these other propositions. The elements written by Euclid are the fundamentals for the study of geometry from a modern mathematical perspective. Elements comprise Euclidean theories, postulates, axioms, construction, and mathematical proofs of propositions.
Lines and Angles
In a two-dimensional plane, a line is simply a figure that joins two points. Usually, lines are used for presenting objects that are straight in shape and have minimal depth or width.
Help with A., B.,C.
a) The explanatory variable is the amount of caffeine in a cup of coffee.
The response variable is the number of cups sold.
b)Scatter plot:-
There is a linear relationship between the amount of caffeine used in a cup of coffee and the number of cups are sold.
As the amount of caffeine used in coffee increases, the number of cups sold also increases.
3) The output of technology (Excel) is,
SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.805952132 | |||||||
R Square | 0.649558839 | |||||||
Adjusted R Square | 0.622601827 | |||||||
Standard Error | 330.1318079 | |||||||
Observations | 15 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 1 | 2626161.796 | 2626162 | 24.096099 | 0.000285601 | |||
Residual | 13 | 1416831.137 | 108987 | |||||
Total | 14 | 4042992.933 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | -821.158967 | 445.6268592 | -1.84271 | 0.088288065 | -1783.877266 | 141.5593 | -1783.88 | 141.5593 |
mg of caffine | 9.478041349 | 1.930835298 | 4.908778 | 0.000285601 | 5.306725291 | 13.64936 | 5.306725 | 13.64936 |
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