Why am I getting the same R-squared values?

Hello, I have a littel problem, when i use fitlm() i keep on getting the same same values for different models. I thought my original models were the wrong ones but I tried with known models as shown in the code attached. I keep on getting the same R-squared values for all the models of which am sure that should not be the case, is there a problem with my code? Please check and assist. Beacsue I suspect maybe there is something wrong with my code. I have attached a sample data which can easily be found in google doc with link provided here "https://docs.google.com/spreadsheets/d/10rK3bswrKyG_BiLRNHtIDBF6vEKo-zdzDTtdPu7KRd8/edit?usp=sharing"
%Wind_data =25*rand(100000,1);
A=input(‘enter wind speed matrixn’)
%second phase of filtration
nrows= numel(A);
ncols=1;
for i=1:nrows
for j=1:ncols
if A(i,j)<0
A(i,j)=0.1;
elseif A(i,j)>25
A(i,j)=25;
elseif A(i,j)==0
A(i,j)=0.5;
else
end
end
end
Wind_data=A;
Param_rayl=raylfit(sort(Wind_data),0.05);
Ray_pdf = raylpdf(sort(Wind_data),Param_rayl);
Ray_cdf = raylcdf(sort(Wind_data),Param_rayl);
figure
%plot(sort(Wind_data),Ray_pdf)
%figure
%plot(sort(Wind_data),Ray_cdf)

%Inverse Weibull
[Params_weibull]=wblfit(Wind_data);
Weibull_inv=wblinv(sort(Wind_data),Params_weibull(1),Params_weibull(2));%cdf of inverse weibull
figure
%plot(sort(Wind_data),Weibull_inv);

%gamma probability density distribution
[Param_gamma]=gamfit(sort(Wind_data))%prarameters determination
Gamma_pdf=gampdf(sort(Wind_data),Param_gamma(1),Param_gamma(2));%gama pdf
Gamma_cdf=gamcdf(sort(Wind_data),Param_gamma(1),Param_gamma(2));%gamma cdf
%figure
%plot(sort(Wind_data),Gamma_pdf);
%figure
%plot(sort(Wind_data),Gamma_cdf);

%extreme value distribution
[Params_evpdf]=evfit(sort(Wind_data));
Gumbel_evpdf=evpdf(sort(Wind_data),Params_evpdf(1),Params_evpdf(2));
Gumbel_evcdf=evcdf(sort(Wind_data),Params_evpdf(1),Params_evpdf(2));
%figure
%plot(sort(Wind_data),Gumbel_evpdf);
%figure
%plot(sort(Wind_data),Gumbel_evcdf);

Combined_cdfs=[Ray_cdf Gamma_cdf Gumbel_evcdf];
Empc=ecdf(Wind_data);
%weibull cumulative

%group the Estc1
figure
Hs_ray=histogram(Ray_cdf,numel(Empc));
binEdges_ray = Hs_ray.BinEdges;
x1 = binEdges_ray(1:end-1) + Hs_ray.BinWidth/2;
R1=fitlm(Empc,x1′)

%group the Estc_gamma
figure
Hs_gamma=histogram(Gamma_cdf,numel(Empc));
binEdges_gamma = Hs_gamma.BinEdges;
x2 = binEdges_gamma(1:end-1) + Hs_gamma.BinWidth/2;
R2=fitlm(Empc,x2′)

%group the Estc_gamma
figure
Hs_gumbell=histogram(Gumbel_evcdf,numel(Empc));
binEdges_gumbell = Hs_gumbell.BinEdges;
x3 = binEdges_gumbell(1:end-1) + Hs_gumbell.BinWidth/2;
R3=fitlm(Empc,x3′)
%trial-visualizaion
figure
cdfplot(Wind_data)
hold on
plot(sort(Wind_data),Ray_cdf)
plot(sort(Wind_data),Gamma_cdf)
plot(sort(Wind_data),Gumbel_evcdf);
hold off
legend(‘real’,’Ray’,’Gama’,’Gumbel’)Hello, I have a littel problem, when i use fitlm() i keep on getting the same same values for different models. I thought my original models were the wrong ones but I tried with known models as shown in the code attached. I keep on getting the same R-squared values for all the models of which am sure that should not be the case, is there a problem with my code? Please check and assist. Beacsue I suspect maybe there is something wrong with my code. I have attached a sample data which can easily be found in google doc with link provided here "https://docs.google.com/spreadsheets/d/10rK3bswrKyG_BiLRNHtIDBF6vEKo-zdzDTtdPu7KRd8/edit?usp=sharing"
%Wind_data =25*rand(100000,1);
A=input(‘enter wind speed matrixn’)
%second phase of filtration
nrows= numel(A);
ncols=1;
for i=1:nrows
for j=1:ncols
if A(i,j)<0
A(i,j)=0.1;
elseif A(i,j)>25
A(i,j)=25;
elseif A(i,j)==0
A(i,j)=0.5;
else
end
end
end
Wind_data=A;
Param_rayl=raylfit(sort(Wind_data),0.05);
Ray_pdf = raylpdf(sort(Wind_data),Param_rayl);
Ray_cdf = raylcdf(sort(Wind_data),Param_rayl);
figure
%plot(sort(Wind_data),Ray_pdf)
%figure
%plot(sort(Wind_data),Ray_cdf)

%Inverse Weibull
[Params_weibull]=wblfit(Wind_data);
Weibull_inv=wblinv(sort(Wind_data),Params_weibull(1),Params_weibull(2));%cdf of inverse weibull
figure
%plot(sort(Wind_data),Weibull_inv);

Combined_cdfs=[Ray_cdf Gamma_cdf Gumbel_evcdf];
Empc=ecdf(Wind_data);
%weibull cumulative

%group the Estc1
figure
Hs_ray=histogram(Ray_cdf,numel(Empc));
binEdges_ray = Hs_ray.BinEdges;
x1 = binEdges_ray(1:end-1) + Hs_ray.BinWidth/2;
R1=fitlm(Empc,x1′)

%group the Estc_gamma
figure
Hs_gamma=histogram(Gamma_cdf,numel(Empc));
binEdges_gamma = Hs_gamma.BinEdges;
x2 = binEdges_gamma(1:end-1) + Hs_gamma.BinWidth/2;
R2=fitlm(Empc,x2′)

%group the Estc_gamma
figure
Hs_gumbell=histogram(Gumbel_evcdf,numel(Empc));
binEdges_gumbell = Hs_gumbell.BinEdges;
x3 = binEdges_gumbell(1:end-1) + Hs_gumbell.BinWidth/2;
R3=fitlm(Empc,x3′)
%trial-visualizaion
figure
cdfplot(Wind_data)
hold on
plot(sort(Wind_data),Ray_cdf)
plot(sort(Wind_data),Gamma_cdf)
plot(sort(Wind_data),Gumbel_evcdf);
hold off
legend(‘real’,’Ray’,’Gama’,’Gumbel’) Hello, I have a littel problem, when i use fitlm() i keep on getting the same same values for different models. I thought my original models were the wrong ones but I tried with known models as shown in the code attached. I keep on getting the same R-squared values for all the models of which am sure that should not be the case, is there a problem with my code? Please check and assist. Beacsue I suspect maybe there is something wrong with my code. I have attached a sample data which can easily be found in google doc with link provided here "https://docs.google.com/spreadsheets/d/10rK3bswrKyG_BiLRNHtIDBF6vEKo-zdzDTtdPu7KRd8/edit?usp=sharing"
%Wind_data =25*rand(100000,1);
A=input(‘enter wind speed matrixn’)
%second phase of filtration
nrows= numel(A);
ncols=1;
for i=1:nrows
for j=1:ncols
if A(i,j)<0
A(i,j)=0.1;
elseif A(i,j)>25
A(i,j)=25;
elseif A(i,j)==0
A(i,j)=0.5;
else
end
end
end
Wind_data=A;
Param_rayl=raylfit(sort(Wind_data),0.05);
Ray_pdf = raylpdf(sort(Wind_data),Param_rayl);
Ray_cdf = raylcdf(sort(Wind_data),Param_rayl);
figure
%plot(sort(Wind_data),Ray_pdf)
%figure
%plot(sort(Wind_data),Ray_cdf)

%Inverse Weibull
[Params_weibull]=wblfit(Wind_data);
Weibull_inv=wblinv(sort(Wind_data),Params_weibull(1),Params_weibull(2));%cdf of inverse weibull
figure
%plot(sort(Wind_data),Weibull_inv);

Combined_cdfs=[Ray_cdf Gamma_cdf Gumbel_evcdf];
Empc=ecdf(Wind_data);
%weibull cumulative

%group the Estc1
figure
Hs_ray=histogram(Ray_cdf,numel(Empc));
binEdges_ray = Hs_ray.BinEdges;
x1 = binEdges_ray(1:end-1) + Hs_ray.BinWidth/2;
R1=fitlm(Empc,x1′)

%group the Estc_gamma
figure
Hs_gamma=histogram(Gamma_cdf,numel(Empc));
binEdges_gamma = Hs_gamma.BinEdges;
x2 = binEdges_gamma(1:end-1) + Hs_gamma.BinWidth/2;
R2=fitlm(Empc,x2′)

Cart

Cart