Answer:
The answer to the above question is:
"The return patterns around earnings announcement is an example of behaviorial pattern exhibiting as more investors flock to buy the stock which has shown better earnings thus driving up the price. In an efficient market, this information would already be built into the price and thus there would not be any appreciable change in price post earning announcement".
Explanation:
Answer:
C) cluster analysis
Explanation:
Regression analysis. The regression analysis determines the relationship between the two variables. Thus, one of these quantities (X) is given in advance(dependent) and is not random. The second value (U) is the independent and random number. The randomness of the second quantity can be explained for two reasons. First: Measuring the random number U, which depends on the number X, is associated with certain errors; second: The value of U may depend on other uncontrollable factors, in addition to being dependent on the value of the corresponding X value. In this case, we need to talk about the distribution of the random variable U against each value of the X variable. The main purpose of the regression analysis is to build a mathematical model that takes into account the factors affecting the physical process using experimental data and evaluating its accuracy. The least squares method is used for statistical estimation of the mathematical model's suitability to experimental data.
Discriminant analysis is a method used in statistics, pattern recognition, and machine learning to find a linear combination of attributes that define or distinguish two or more classes or events. The resulting combination can be used as a linear classifier or more often to reduce the size before classifying. LDA is closely related to variance analysis (ANOVA) and regression analysis, which try to express a dependent variable as a linear combination of other properties or dimensions. However, while variance analysis uses qualitative independent variables and a continuous dependent variable, discriminant analysis has continuous independent variables and a qualitative dependent variable.
Cluster analysis or clustering is a problem of grouping a number of objects. In this problem, objects must be in some way more similar to those in other groups to accommodate the same clusters (clusters). One of the main problems with data transmission is a common technique used in statistical data analysis. It is also used in machine learning, pattern recognition, image analysis, data retrieval, bioinformatics, data compression and computer graphics.
One-way analysis of variance (ANOVA) is used to calculate the significance of the difference between three and more independent means in a normally distributed series. ANOVA compares the arithmetic means of three or more groups alone; ANOVA result is also significant when at least one of these comparisons is significant. To measure the significance it will have the relation to the regression analysis that's why there will be dependent and independent variables as well.
In United Kingdom, we assume that there are 22.36 million home and approximately £2,938 million money in total do UK households pay for their electricity per year, we use 365 days in a year. The answer in this question is £2,938 million is the money in total do UK households pay for their electricity per year.
Answer:
Explanation:
Assumed Data
Budgeted Sales 1000000
units sold 10000
Unit price 100
Cost Per unit 60
Before After Cahnge Due to
impelemtation implementation implementation
Sales 1000000 1125000* 125000
Cost -600000 -750000 -150000
Profit 400000 375000 -25000
Advertise Cost 0 -30000 -30000
400000 345000 -55000
* Sales price 100
Reduction 10%
After Reduction Sp 90
Current unit sales 10000
Increase 25%
After increase 12500
Cost Per unit will remain the same because only sales price will be decreased to boost the sale
New sales 12500*90 1125000
Cost 12500*60 750000
