#1 Model Summaryb | Model | R | R Square | Adjusted R Square | Std. Error of the Estimate | Dimension0 | 1 | .351a | .123 | -.169 | 3.9429207 | a. Predictors: (Constant)‚ x | b. Dependent Variable: y | ANOVAb | Model | Sum of Squares | df | Mean Square | F | Sig. | 1 | Regression | 6.560 | 1 | 6.560 | .422 | .562a | | Residual | 46.640 | 3 | 15.547 | | | | Total | 53.200 | 4 | | | | a. Predictors: (Constant)‚ x | b. Dependent Variable: y | Coefficientsa | Model |
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644 Std. Deviation 5.162 Minimum 13 Maximum 44 Range 31 Interquartile Range 7 Skewness .869 .086 Kurtosis .439 .171 Tests of Normality RESPONDENTS SEX Kolmogorov-Smirnova Shapiro-Wilk Statistic df Sig. Statistic df Sig. RESPONDENT SOCIOECONOMIC INDEX MALE .178 598 .000 .904 598 .000 FEMALE .209 817 .000 .909 817 .000 R’S AGE WHEN 1ST CHILD BORN MALE .095 598 .000 .957 598 .000 FEMALE .143 817 .000 .942 817 .000 2. Now do a t-test for each variable
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Abstract In this paper there is a given set of data from 4.2 - Assignment: Correlation and Regression that will be used to answer questions a‚b‚ and c. The data is from working technicians in maintenance at the Atlanta International Airport and displays the amount of education (in years) to the mechanics income. It will also be determined if there is a positive or negative linear correlation for each variable (x and y). For question a‚ the relationship and results will be discussed for the number
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Summer Internship Project Report On “Retailer Satisfaction level Regarding Dairy Products with Special Reference to Reliance Dairy Food Products Ltd” Submitted in partial fulfillment of the requirements for the Two Year Full Time Post Graduate Diploma in Management I.T.S- Institute of Management Greater Noida Session: 2012-2014 Under the Guidance of: I. II. Faculty Mentor - Prof. Vishal Agarwal (Faculty Marketing) Industry Mentor Name - Mr. Javed Hussain (Area In charge) By: Biman Dewan
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Tax Incidence Statutory Incidence of a tax Mengindikasikan siapakah yang secara legal bertanggung jawab (menanggung) pajak (misal: penjual atau pembeli?) Economic Incidence of a tax Perubahan dalam distribusi pendapatan riil pribadi yang dipengaruhi pajak Pajak progressive dapat dihitung dengan berbagai cara. Proportional‚ progressive dan regressive. Average tax rate‚ ratio dari pajak yang dibayarkan terhadap pendapatan. jika Average tax rate naik dari pendapatan‚ systemnya adalah
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7}. (12 Marks) 4. a) Briefly explain Strassen’s matrix multiplication. Obtain its (12 Marks) complexity. Apply the algorithm to multiply the given 2 matrices. 1 2 5 6 3 4 X 7 8 b) Differentiate between DFS and BFS tree traversals. Explain how DFS algorithm can be used to obtain the topological sorting with an example. (08 Marks) PART -B 5. a) Write and explain the Heap sort algorithm using top-down approach. Sort the elements {M‚O‚R‚N‚I‚N‚G} in alphabetical
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DF SS MS F P Regression 1 5609.7 5609.7 26.85 0.000 Residual Error 19 3968.9 208.9 Total 20 9578.6 Question 2 Regression Analysis: Dryer versus KWH The regression equation is Dryer = - 0.395 + 0.0281 KWH Predictor Coef SE Coef T P Constant -0.3948 0.5897 -0.67 0.511 KWH 0.028113 0.008636 3.26 0.004 S = 0.845182 R-Sq = 35.8% R-Sq(adj) = 32.4% Analysis of Variance Source DF
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current and new golf balls is: H0: µ1 - µ2 ≥ 0 (mean distance of new greater than or equal to the old) Ha: µ1 -µ2 < 0 (mean distance of new less than old) 3. Statistical basis n1 = 40 n2 = 40 x1 = 270.28 x2 = 267.5 s1 = 8.75 s2 = 9.90 α = .05 df = 78 t = (270.28 – 267.5) – 0 = 1.33 P-value = .10 P-value > .05 (or α); do not reject H0 4. The 95% confidence interval for the sample mean driving distance for current golf balls is 267.66 to 272.90. The 95% confidence interval for the sample mean
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the number of units sold goes down by 0.7286 units. | d. | r 2 = .8556; 85.56% of the variability in y is explained by the linear relationship between x and y. | e. | rxy = -0.92; negative strong relationship. | f. t = -5.44 < -4.032 (df = 5); reject Ho‚ and conclude x and y are related. g. | F = 29.642 > 16.26; reject Ho‚ x and y are related. | 2. Assume you have noted the following prices for books and the number of pages that each book contains. | Book | Pages (x) | Price
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Determination of Sugars in Sports Drinks: A Spectrophotometric Analysis By: Crystle Culling Student Number: 2686923 Class: Tuesday 12pm (odd weeks) Page | 1 1015MSC Lab Report Crystle Culling 2686923 Abstract The concentration of sugars in two well-known sports drinks‚ Powerade and Gatorade‚ were determined by monitoring an enzyme-catalysed reaction sequence involving the appearance of NADPH. Sucrose and glucose concentrations were calculated from the concentration of NADPH formed by the reaction
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