Q2. How many observations have both pH greater than 5.99 pH units and K greater than 1.81 mg/litre ?Q3. You are asked to use a linear model (e.g. using Rs lm() function) to analyse whether Conductivity (units = micro S / cm ), in authority 25 , varies between four specific regions (labelled by the numbers: 1755, 1753, 1754, 1756 )To fit this model you should:1.Create a subset that contains data for only regions 1755, 1753, 1754, 1756 from authority 252.Transform the variable Conductivity using a power transformation with an exponent of 0.23.Fit a linear model with a response variable that is the power transformed Conductivity and an explanatory variable that is a single fixed factor which distinguishes between the four regionsFrom this analysis the estimated difference in the response variable between region 1753 and region 1755 is -0.23 (e.g. using the summary() function). What is the standard error for this estimate?Q4. You are asked to use a linear model (e.g. using Rs lm() function) to analyse whether Conductivity (units = micro S / cm ), in authority 7 , varies between four specific regions (labelled by the numbers: 293, 297, 295, 296 )To fit this model you should:1.Create a subset that contains data for only regions 293, 297, 295, 296 from authority 72.Transform the variable Conductivity using a power transformation with an exponent of 0.13.Fit a linear model with a response variable that is the power transformed Conductivity and an explanatory variable that is a single fixed factor which distinguishes between the four regionsThe residual sum of squares from this analysis is 0.71 (e.g. using Rs anova() function). What is the estimate for the F-ratio?Q5. You are asked to use a linear model (e.g. using Rs lm() function) to analyse whether Conductivity (units = micro S / cm ), in authority 25 , varies between four specific regions (labelled by the numbers: 1755, 1754, 1753, 1756 )To fit this model you should:1.Create a subset that contains data for only regions 1755, 1754, 1753, 1756 from authority 252.Transform the variable Conductivity using a power transformation with an exponent of 0.23.Fit a linear model with a response variable that is the power transformed Conductivity and an explanatory variable that is a single fixed factor which distinguishes between the four regionsWhich of the following statements best describes the outcome of the linear model analysis and is suitable for inclusion in a scientific report? For water samples from regions 1755, 1754, 1753, 1756 within water authority number 25, the average value of Conductivity is the same across the regions (F3, 320=1.2, p=0.32). For water samples from regions 1755, 1754, 1753, 1756 within water authority number 25, the average value of Conductivity differs across the regions (p For water samples from regions 1755, 1754, 1753, 1756 within water authority number 25, the average value of Conductivity differs across the regions (F3, 320=53, p=0.32). For water samples from regions 1755, 1754, 1753, 1756 within water authority number 25, the average value of Conductivity differs across the regions (F3, 320=1.2, p=0.32). For water samples from regions 1755, 1754, 1753, 1756 within water authority number 25, the average value of Conductivity is the same across the regions (F3, 320=53, p=0.32).Q6. For data from Area C, what is the intercept of the best-fit regression line with Mg (units=mg/litre) as the dependent (y-axis) variable and pH (units=pH units) as the independent (x-axis) variable?You should give your answer to 2 significant figures.Q7. For data from Area C, what is the standard error on the slope of the best-fit regression line with K (units=mg/litre) as the dependent (y-axis) variable and NH4 (units=mg/kg) as the independent (x-axis) variable?You should give your answer to 2 significant figures.Q8. For data from Area A, fit a linear model with K (units=mg/litre) as the dependent (y-axis) variable and Mg (units=mg/litre) as the independent (x-axis) variable. From the results of your model, which of the following statements is correct and suitable for a scientific report? We find evidence of a linear relationship between K and Mg in area A (F1,34=120, p We find evidence of a linear relationship between K and Mg in area A (F1,10=26, p We find evidence of a linear relationship between K and Mg in area A (F1,34=120, p We find no evidence of a relationship between K and Mg in area A (F1,10=26, p We find evidence of a linear relationship between K and Mg in area A (F1,10=26, pQ9. You are asked to test the null-hypothesis The relative frequencies of species?Sphagnum capillifolium?across the four regions H, O, Q, R are the same as those of species?Sphagnum fallax.Perform the appropriate chi-squared test for this null-hypothesis. What is the?expected?number of?Sphagnum capillifolium?in region H.You should give your answer to 1 decimal place.Q10. You are asked to test the null-hypothesis The relative frequencies of species?Sphagnum tenellum across the four regions G, J, O, R are the same as those of species Sphagnum capillifoliumPerform the appropriate chi-squared test for this null-hypothesis. Which ONE of the following sentences, decsribing the result from this chi-squared test, would be the most appropriate for a scientific report? The relative frequencies of?Sphagnum tenellum?across the four regions G, J, O, R differ from those of?Sphagnum capillifolium?(Chi-squared=21.6, df=25, p=0.66). The relative frequencies of?Sphagnum tenellum?across the four regions G, J, O, R are the same as those of?Sphagnum capillifolium?(p=0.35). The relative frequencies of?Sphagnum tenellum?across the four regions G, J, O, R are the same as those of?Sphagnum capillifolium?(Chi-squared=2.8, df=3, p=0.42). The relative frequencies of?Sphagnum tenellum?across the four regions G, J, O, R are the same as those of?Sphagnum capillifolium?(Chi-squared=0.9, df=1, p=0.35). The relative frequencies of?Sphagnum tenellum?across the four regions G, J, O, R differ from those of?Sphagnum capillifolium?(p=0.42).本团队核心人员组成主要包括BAT一线工程师，精通德英语！我们主要业务范围是代做编程大作业、课程设计等等。我们的方向领域：window编程 数值算法 AI人工智能 金融统计 计量分析 大数据 网络编程 WEB编程 通讯编程 游戏编程多媒体linux 外挂编程 程序API图像处理 嵌入式/单片机 数据库编程 控制台 进程与线程 网络安全 汇编语言 硬件编程 软件设计 工程标准规等。其中代写编程、代写程序、代写留学生程序作业语言或工具包括但不限于以下范围:C/C++/C#代写Java代写IT代写Python代写辅导编程作业Matlab代写Haskell代写Processing代写Linux环境搭建Rust代写Data Structure Assginment 数据结构代写MIPS代写Machine Learning 作业 代写Oracle/SQL/PostgreSQL/Pig 数据库代写/代做/辅导Web开发、网站开发、网站作业ASP.NET网站开发Finance Insurace Statistics统计、回归、迭代Prolog代写Computer Computational method代做因为专业，所以值得信赖。如有需要，请加QQ：99515681 或邮箱：[email protected] 微信：codehelp QQ：99515681 或邮箱：[email protected] 微信：codehelp
