an R squared value of .948 or 94.8% meaning that 94.8% of the variability in food and beverage sales can be explained by the month coefficient. With two indicators now showing that the model with a trend is providing more accurate results (graph and the R-squared value), I felt slightly more confident in using that forecasting model. To be completely sure however, I decided to verify with one more test: the mean squared error. The mean squared error measures the average of the squares of errors, -
least squares. We would then square the residuals from the return equation and regress the squared residuals on its lags. The R2 from this regression can be used to construct the test statistic, where T is the number of observations and the degrees of freedom, q, is the number of lagged squared residuals in the test equation. The null hypothesis for this test is that all the coefficients on the lagged squared residuals are equal to zero. The alternative hypothesis is that at least one of the coefficients
hypothesis stated that there is a statistically significant relationship between the two groups. Participants increased their religious commitment (M = 29.95, SD = 6.73) as opposed to the faith Development Scale (M = 2.40, SD = 1.05). The standard error of measure was 27.5 (SE = 0.926) .The results of the paired sample t test were significant, 95% CI (25.67 to 29.423), t (39) = 29.749, p < .05, d= 4.70 and therefore reject the null hypothesis and accept the alternative hypothesis. The effect size
Error t-Statistic Prob. C 4.450579 0.571797 23.52333 0.0000 LCPO 0.263956 0.071989 3.666637 0.0004 LEX 0.730580 0.253322 11.17382 0.0000 LIR -0.4192 0.087159 -2.916415 0.0046 Table 4.2 R-squared 0.609579 Mean dependent var 8.356235 Adjusted R-squared 0.594939 S.D. dependent var 0.169791 S.E. of regression 0.108063 Akaike info criterion -1.565763 Sum squared resid 0.934204 Schwarz criterion -1.450009 Log likelihood
1221615 Data Analysis And Interpretation 5.1 Introduction: This study is to examine the impact of macroeconomic variables on the Indian bank industry’s stock returns. This study measures the variation of banks ‘stock returns to economic variables such as Consumer Price Index (CPI),and Exchange rate (Ex Rate). CPI is a measure of inflation; Exchange rate is the measurement of Indian rupee (INR) towards the foreign currencies like USD, SGD and JPY. The data collection of the study is based on the
observe inheritance of phenotypes based on the parental phenotypes. We put the flies under a dissecting microscope to determine which phenotypes they exhibited, recorded the phenotypes in a table, used the data to determine the chi squared value, and compared our chi squared value to that of a table to determine if it actually fit the expected ratio. We found that in one cross this was true and that the other cross shouldn’t have fit it because it didn’t
Prepare for the AP Statistics Exam. A very educational book helped a lot on the AP test. It clarified ideas that I was uncertain on. It helped me to understand when to use each test and the assumptions needed for each test. Type I and Type II errors were explained in such a way that they became crystal clear to me instead of muddy. Computer and Minitab outputs were thoroughly explained, and I became comfortable with them after reading this book. The Barron’s guide also formatted equations in
in a terminal velocity. The acceleration of the object can be modeled by an exponential decay graph. PURPOSE Evaluate how terminal velocity varies with mass. Determine in which instances air resistance is proportional to velocity or to velocity squared. Understand how mass influences the decay constant k. PROCEDURE (EXPERIMENT #1) Begin with five coffee filters layered on top of each other, holding the bunch a significant height above a motion sensor. Drop the filters, ensuring contact right
a random error component . Multiple linear regression: If there is more than one regressor, it is called multiple linear regression. In general, the response variable y may be related to k regressors, x1, x2,…,x k, so that y = β0 +β 1x1 +β 2x2 +…+ βkxk +ε
class. To determine a correlation between two variables we used the “coefficient of determination” which is also known as r-squared. Based on Figure 2, the r-squared value was 0.292. This r-squared value indicated that there appears to be no relationship between the muscle size and maximum muscle force. In comparison, in Figure 3 the r-squared value was 0.038. Thus, this r-squared value also indicated that there is no relationship between the muscle size and half-maximum fatigue
the oscillations. If connected to a logger, the number of times the laser beam is interrupted, by oscillating pendulum count be used to determine how many oscillations have been made. The calculated period would be more accurate and precise if error such as the above could be eliminated and the experiment bettered and the margin of uncertainty made much smaller. The value I have found is a value for the acceleration due to gravity at the earth's surface only. The earth's gravitational field
variables to explain the variation in a dependent variable. Unlike simple regression where one predicts the observed values of the dependent variable but in multiple regression we can predict the observed values of two or more independent variables R-squared is a measurement of how cl... ... middle of paper ... ...t listing each team and the variables. Where the data was collected there it had a value already added into each team so that data was added also to see how far the model was off. When all
they are not as popular as condominiums that have wonderful views of the gulf. 5-Number Summary, Mean, Mode, Range, and Standard Deviation 40 Golf View Condominiums List Price Sale Price Days to Sell Five-Number Summary Smallest value 200.00 189.00 22.00 First quartile (Q1) 467.00 452.90 70.00 Median (Q2) 639.00 604.20 137.50 Third quartile (Q3) 843.00 801.40 225.50 Largest value 962.00 935.10 298.00 Mean 629.00 606.59 146.65 Mode 639.00 NA 249 Range 762.00 746.10 276.00 Standard Deviation 227.05
ionic and hydrogen bonds that hold the tertiary structure together, this in turn changes the shape of the active site and so halts any reactions that the enzyme would otherwise be able to catalyze. Method 6 test tubes were set up and 2cm squared of Hydrogen Peroxide was placed in each tube. Each tube was then placed in a water bath of the corresponding temperature (20oC, 40oC, 60oC and 80oC), and one in a beaker of ice (0oC). They were all left in for 10 minutes to take them all to the
It uses gain ratio as splitting criteria. The splitting ceases when the number of instances to be split is below a certain threshold. Error–based pruning is performed after the growing phase. C4.5 can handle numeric attributes. It can induce from a training set that incorporates missing values by using corrected gain ratio criteria. CART (Classification and Regression Tree) CART is characterized
Woodlice Introduction There are many species of Woodlice found in the British Isles and because of their abundance they provide good material for an ecological investigation into their preferred habitat. Woodlice are of the order Isopoda which means, "the legs are alike"1. Different species prefer different dwellings however the Common Rough Woodlouse (Porcellio scaber) which has been used for this investigation, is commonly found around residential properties. They can be found under rocks
algebra and some trig) test, I took another one. Again, I received a C and felt rather bad. I talked with Dr. Malm to figure out what I did wrong. After looking over the test, I felt somewhat worse: the errors I made were not due to a real lack of understanding, rather they were "stupid errors" from lack of attention, sleepiness, and some misinterpretation. I was assured that the college precalculus course would "fill the holes" of my precalculus education. I doubted it, and was correct: I learned
consumption expenditure one is direct and other is indirect way. Direct method shows direct impact of interest rate on consumption. The indirect method further operates in two ways. First change in interest rate has strong impact on demand of housing it means it will affect prices of housing so that shows change in wealth of household. In second steps that further lead to decrease in the consumption expenditure of people. The direct effect shows that increase in interest rate has income ... ... middle
available. Moreover, commonly available data acquisition cards are very costly. So a solution of this data acquisition problem is proposed using a webcam and processing unit which can be arranged for at a nominal cost. Further it can eliminate the error of human eye as well as adjust the interval of taking the reading. The main objective in OCR technique is to distinguish the object of interest from the original image. In order to achieve that, the noise within the image has to be removed up to a
situations/data. Modules 5 and 8 will have questions that test your understanding of modules 1,2,3 and 4. This is called the synoptic assessment. The synoptic element of modules 5 and 8 is worth more marks that the actual module content. This means you have to get to grips with the synoptic element in order to do well. This booklet is designed to help you to do so. How much of module 5 and 8 is synoptic? 50% of the marks on the module 5 paper are synoptic and 70 % of the module 8 paper