“R Square” represents the coefficient of determination, which we interpret as the percentage of variation in the number of sales (Y) that can be explained by temperature variations (X). From our analysis, R Square = 0.966, which indicates that 96.6% of the variance in ice…
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The Equation of Best Fit is a calculation or equation that attempts to minimize distance between all the data points and a fitted line. The general idea is that small and unbiased difference between a model’s predicted values and the observed values indicates the model of best fit. However, it is advisable to look at the residual plots before concluding about goodness-of-fit as a statistical measure.
We interpret the slope b or regression coefficient as the amount of change in Y for each unit increase in X. that is b represents the effect of X on Y while the intercept a, is the predicted value of Y associated with X = 0. From our analysis, the slope (a = 0.124) and Y-intercept (-1.031), X-temperature, and Y ice cream sales. Figure 2 below shows the strong positive correlation between temperature and Ice Cream Sales (slope).
The main idea for this task is to find out whether the number of ice cream sold varies with temperature. Based on existing literature, we would expect ice-cream sales to increase with temperature. In order to answer the questions for the exercise, the Number of Ice Cream Sales is the dependent variable (criterion variable), and Temperature is the independent variable. Overall, the task is a simple linier regression because there are only two variables.
Figure 4 above shows the correlation coefficient (r) is +0.98, which tells us a strong positive correlation between sales of ice cream and temperature, at 0.001 significance level. Therefore, we establish that the relationship between sales of ice cream and temperature was positively and strongly related (r = +0.98), p
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Since the output variable (dependent variable) is categorical (good or bad) the proper statistical technique to be adopted is logistic regression. The output of the logistic regression is given below. The preprocessing steps involve identifying independent and dependent variables, coding of variables which abruptly needs coding etc.
So the total entries for each variable is 16x4=64. The data is analysed through SPSS 16.0. It is expected that the unemployment is having a close relationship with real GDP, net Export, Investment and Consumption. So our objective of the study is to extract how these independent variables (real GDP, net Export, Investment and Consumption) have influence over unemployment.
The difference is that offer has to be accepted or not but invitation to treat is a further negotiation, a step towards the formation of a binding legal contract. There are other issues as well like for instance communication of the acceptance, is there any need for communicating acceptance or can the offer waive the communication.
As the problem directly or indirectly affects a major community, it becomes relevant to discuss the reasons, consequences, and also different measures taken by the officials to handle it. Recently the President of Ireland Mr. Michael D. Higgins has intervened directly in political debate on the euro zone debt crisis, criticizing the response of European leaders and the actions of the European Central Bank.
Below is the data that I have been collecting to date.
SEX AGE SAL (K) EDU
1 39 23 14
2 29 33 16
2 18 32 16
1 21 54 12
1 50 48 18
2 49 37 16
1 62 70 15
2 23 23 12
1 20 36 13
1 30 35 14
2 32 21 11
1 48 55 16
There is a difference between simple regression and multiple regression.
In order to achieve my goal, I gave out ten questionnaires to ten students. The students gave me, their ideas on how best to solve the problem. The first method I was given was to involve religious leaders in the fight. Most schools have a
On one hand is the IS curve, which shows different combinations of real rates of interest (r) and real out-put (Y) result into goods market equilibrium while on the other hand is the LM curve, which shows different combinations of real rates of interest and
To determine the relationship, we conducted a multiple regression test and the results are shown in the preceding sections below;
The above table gives the summary statistics from the regression output. The value of R2 is given as 0.448 which means that
The author states that the independent t-test determines whether unknown means of two populations are different based on independent samples drawn from each population. Generally, the term ‘population’ (N) in statistics refers to the entire pool from which an investigator obtains a statistical sample.
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